CN109462422B - System and method for realizing ultrashort wave frequency hopping signal tracking interference - Google Patents

System and method for realizing ultrashort wave frequency hopping signal tracking interference Download PDF

Info

Publication number
CN109462422B
CN109462422B CN201811356553.5A CN201811356553A CN109462422B CN 109462422 B CN109462422 B CN 109462422B CN 201811356553 A CN201811356553 A CN 201811356553A CN 109462422 B CN109462422 B CN 109462422B
Authority
CN
China
Prior art keywords
module
signal
frequency
frequency hopping
interference
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201811356553.5A
Other languages
Chinese (zh)
Other versions
CN109462422A (en
Inventor
李治国
康文臣
陈向明
马欢
于津
倪健
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Tong Fang Electronic Science & Technology Co ltd
Original Assignee
Tong Fang Electronic Science & Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Tong Fang Electronic Science & Technology Co ltd filed Critical Tong Fang Electronic Science & Technology Co ltd
Priority to CN201811356553.5A priority Critical patent/CN109462422B/en
Publication of CN109462422A publication Critical patent/CN109462422A/en
Application granted granted Critical
Publication of CN109462422B publication Critical patent/CN109462422B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B1/00Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/69Spread spectrum techniques
    • H04B1/713Spread spectrum techniques using frequency hopping
    • H04B1/715Interference-related aspects

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Noise Elimination (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The invention discloses a system and a method for realizing tracking interference of ultrashort wave frequency hopping signals, which decompose complex tasks into a plurality of simple tasks and adopt corresponding processing chips by adopting a multi-processing center and a plurality of bus technologies, well finish the realization of the tracking interference technology by a time iteration mode, effectively solve the difficulty of real-time processing of large data volume in the process of real-time reconnaissance and tracking interference of ultrashort wave frequency hopping communication signals, reduce the performance requirements on processing devices, have strong expansibility and portability of the whole system architecture, and practical test shows that the invention can realize effective interference on communication of frequency hopping radio stations with the frequency hopping frequency of less than 1000 hops/second.

Description

System and method for realizing ultrashort wave frequency hopping signal tracking interference
Technical Field
The invention relates to the technical field of electronic information correlation, in particular to a system and a method for realizing ultrashort wave frequency hopping signal tracking interference.
Background
Frequency hopping communication is an important spread spectrum communication mode, and is widely applied to the field of military communication due to the strong anti-interference capability. The analysis of the frequency hopping signal is the basis for the reconnaissance, identification, monitoring and interference of the frequency hopping signal in electronic warfare. Modern battlefield communication environments are increasingly complex, signals are distributed densely and are various, and frequency hopping signals need to be detected quickly from various noises and signals, so that the technical challenge is great. The detection and tracking of interference to frequency hopping communication signals is an important issue for long-term research by many units conducting communication countermeasure equipment development and production.
Since the frequency domain characteristics of the frequency hopping signal change constantly with time, when analyzing the transient non-stationary signal, a time-frequency analysis method capable of describing the time-frequency joint characteristics of the signal to be analyzed is required. The time-frequency analysis method generally comprises the following steps: short Time Fourier Transform (STFT), Wigner-Ville distribution, Gabor transform, fractional Fourier analysis, wavelet analysis, and the like.
In practical engineering applications, time-frequency analysis is basically performed by using a short-time fourier transform method. The continuous intermediate frequency signal data of AD sampling is segmented according to time, the power spectrum data generated after FFT operation is accumulated, and all the frequency spectrum data form a time-frequency graph according to a time-frequency axis. The length of the segmentation time is called time resolution, and the width of the frequency spectrum occupied by each frequency point data is called frequency resolution.
The short-time Fourier transform method mainly focuses on parameters including medium frequency bandwidth, I/Q data sampling frequency, FFT length, time resolution, frequency resolution and effective frequency point number. These parameters are closely related and influence each other.
The frequency hopping signal reconnaissance algorithm is based on an image processing method, a maximum correlation method, a time correlation statistical method and the like. The algorithms are consistent in nature, and are all derived from a macroscopic view, and are scout identification algorithms which are provided from a statistical perspective based on the fact that the frequency hopping signal shows the overall characteristics, and local conditions are ignored.
The processing steps of the existing algorithms are to continuously buffer data for a period of time, then process the data, stop receiving the data in the processing process, and cannot implement full-time monitoring on signals in a monitoring frequency band, so the existing algorithms are generally applied to low-speed frequency hopping signal detection or non-real-time processing occasions with lower requirements.
An effective solution to the problems in the related art has not been proposed yet.
Disclosure of Invention
In view of the above technical problems in the related art, the present invention provides a system and method for implementing tracking interference of ultrashort wave frequency hopping signals.
The technical scheme of the invention is realized as follows:
a method for realizing ultrashort wave frequency hopping signal tracking interference comprises the following steps:
step 1: initializing, setting a monitoring working mode and working frequency parameters through a computer terminal, and writing the parameters into an analysis command receiving and analyzing module in the FPGA unit through a DSP1 module;
step 2: the antenna signal is sent to the channel module through the electronic switch, then analog-to-digital conversion is carried out in the A/D module in sequence, filtering is carried out in the filtering module, and finally FFT operation is carried out through the FFT module;
and step 3: in step 2, the FFT module outputs two paths of signals after FFT operation:
one path of frequency spectrum data is written into an HPI space module through frequency spectrum data and transmitted to a DSP1 module, the DSP1 module calculates an adaptive threshold according to the frequency spectrum data and transmits the adaptive threshold to an analysis command receiving and analyzing module and a computer terminal respectively;
the other path of spectrum data is subjected to spectrum peak signal searching and sorting through a spectrum peak searching and sorting module to obtain spectrum peak signal data, the spectrum peak signal data is written into an HPI space module through the spectrum peak data and is transmitted to a DSP2 module for time-related statistical processing to extract complete instantaneous signal related parameters, and the instantaneous signal related parameters are transmitted to a computer terminal through a DSP1 module;
and 4, step 4: the computer terminal carries out cluster analysis on the relevant parameters of the instantaneous signals and the self-adaptive threshold obtained in the step (3) and detects whether frequency hopping communication signals exist or not;
when a frequency hopping communication signal exists, calculating the hopping rate, the residence time and the frequency set of the frequency hopping communication signal, entering a tracking interference state, and then transmitting the hopping rate, the residence time and the frequency set of the frequency hopping communication signal to the DSP2 module through the DSP1 module;
and 5: detecting data written into the DSP2 module in the FPGA unit at regular time; comparing the detected new signal with the frequency set of the frequency hopping communication signal obtained in the step 4; the newly-appeared signal is data which does not exist in the data written into the DSP2 module in advance and has a spectrum peak signal in a position larger than the interference threshold spectrum peak signal data;
if the newly appeared signal is consistent with the frequency set of the frequency hopping communication signal, writing the position information of the newly appeared signal into a tracking interference module, and generating an excitation signal with the frequency corresponding to the position information through the tracking interference module;
step 6: transmitting the excitation signal obtained in the step 5 to a D/A module for digital-to-analog conversion into an analog radio frequency signal, and then transmitting the analog radio frequency signal to an antenna through an electronic switch after the analog radio frequency signal is amplified by a power amplifier for transmitting out for interference;
after the interference is finished, the original position is continuously detected until the interfered signal disappears.
Further, the mode of entering the tracking interference state in the step 4 includes manual control by an operator and automatic control by a computer terminal.
Further, comparing the detected new signal with the frequency set of the frequency hopping communication signal obtained in the step 4 in the step 5; further comprising:
if the frequency set of the new signal is different from the frequency set of the frequency hopping communication signal, counting the new signal until the end of the signal; wherein, in the statistical process:
when the duration of the new signal is consistent with the residence time of the frequency hopping communication signal, the new signal is judged to belong to the frequency of the frequency hopping communication signal, and the frequency of the new signal is added into the frequency set of the frequency hopping communication signal;
and when the duration of the new signal is not consistent with the residence time of the frequency hopping communication signal, discarding the new signal.
Further, in step 6, the interference time transmitted by the antenna is less than the dwell time of the frequency hopping communication signal.
A system for realizing ultrashort wave frequency hopping signal tracking interference comprises an FPGA unit, wherein the FPGA unit is respectively connected with an A/D module, a D/A module, a DSP1 module and a DSP2 module, the DSP1 module and the DSP2 module are in communication connection through a Rapid IO bus, the DSP1 module is connected with a computer terminal, the D/A module is connected with a power amplifier, the power amplifier is connected with an electronic switch, the electronic switch is respectively connected with an antenna and a channel module, and the channel module is connected with the A/D module; the FPGA unit includes: the system comprises an FFT module, a filtering module connected with the A/D module, an excitation signal generating module connected with the power amplifier, an analysis command receiving and analyzing module and a spectrum data writing HPI space module which are respectively connected with the DSP1 module, and a spectrum peak data writing HPI space module and a tracking interference module which are respectively connected with the DSP2 module, wherein the spectrum peak data writing HPI space module is connected with a spectrum peak searching and sorting module, the tracking interference module is connected with the excitation signal generating module, the FFT module is respectively connected with the filtering module, the spectrum data writing HPI space module and the spectrum peak searching and sorting module, the computer terminal is used for controlling the system and analyzing the obtained data, the DSP1 module and the DSP2 module are used for processing digital signals, the tracking interference module is used for generating excitation signals, and the spectrum data writing HPI space module is used for storing and transmitting spectrum data, the spectral peak searching and sorting module sorts and transmits the searched spectral peak signals to the spectral peak data writing HPI space module for storage, and the analysis command receiving and analyzing module is used for receiving and analyzing the command of the computer terminal.
Further, the analysis command receiving and analyzing module is connected with the DSP1 module through an EMIF bus.
Further, the tracking interference module is connected with the DSP2 module through an EMIF bus.
Further, the spectrum data write HPI space module is connected with the DSP1 module through an HPI interface on the FPGA unit.
Furthermore, the spectrum peak data writing HPI space module is connected with the DSP2 module through an HPI interface on the FPGA unit.
Further, the DSP1 module is connected to the computer terminal via an ethernet network.
The invention has the beneficial effects that: by adopting a multi-processing center and various bus technologies, a complex task is decomposed into a plurality of simple tasks and is completed by adopting corresponding processing chips, the realization of the tracking interference technology is well completed in a time iteration mode, the difficulty of real-time processing of large data volume in the process of real-time reconnaissance and tracking interference of ultrashort wave frequency hopping communication signals is effectively solved, the performance requirement on processing devices is reduced, the whole system architecture has strong expansibility and portability, and practical test tests show that the invention can realize effective interference on communication of frequency hopping radio stations with the frequency hopping frequency of less than 1000 hops/second.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a schematic diagram of a system for tracking interference by ultrashort wave hopping signals according to the present invention;
FIG. 2 is a block diagram of the logic structure of an FPGA unit in a system for tracking and interfering with ultrashort wave frequency hopping signals according to the present invention;
FIG. 3 is a schematic diagram of a tracking interference "head catching and tail catching" strategy in a method for implementing tracking interference of ultrashort wave frequency hopping signals according to the present invention;
FIG. 4 is a frequency spectrum diagram of data written into a DSP2 module for detection in a method for achieving ultrashort wave frequency hopping signal tracking interference according to the invention;
fig. 5 is a time-frequency diagram of signals in a method for tracking interference by an ultrashort wave frequency hopping signal according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments that can be derived by one of ordinary skill in the art from the embodiments given herein are intended to be within the scope of the present invention.
A method for realizing ultrashort wave frequency hopping signal tracking interference comprises the following steps:
step 1: initializing, setting a monitoring working mode and working frequency parameters through a computer terminal 6, and writing the parameters into an analysis command receiving and analyzing module 14 in the FPGA unit 1 through a DSP1 module 4;
in this embodiment, during reconnaissance, an operator operates terminal interface software running in the computer terminal 6, sets a monitoring working mode and working frequency parameters, and sends the monitoring working mode and the working frequency parameters to the DSP1 module 4, and the DSP1 module 4 writes the monitoring working mode and the working frequency parameters into the analysis command receiving and analyzing module 14 in the FPGA unit 1 through the EMIF interface to perform processing.
Step 2: the antenna signal is sent to the channel module 9 through the electronic switch 8, then analog-to-digital conversion is carried out in the A/D module 2 in sequence, filtering is carried out in the filtering module 12, and finally FFT operation is carried out through the FFT module 11.
And step 3: in step 2, the FFT module 11 outputs two signals after performing FFT operation:
one path of frequency spectrum data is written into an HPI space module 15 through frequency spectrum data and transmitted to a DSP1 module 4, the DSP1 module 4 calculates a self-adaptive threshold according to the frequency spectrum data and transmits the self-adaptive threshold to an analysis command receiving and analyzing module 14 and a computer terminal 6 respectively; and the frequency spectrum is displayed at the computer terminal 6;
the other path of spectrum data is subjected to spectrum peak signal searching and sorting through a spectrum peak searching and sorting module 18 to obtain spectrum peak signal data, the spectrum peak signal data is written into an HPI space module 16 through the spectrum peak data and is transmitted to a DSP2 module 5 for time-related statistical processing to extract complete instantaneous signal related parameters, and the instantaneous signal related parameters are transmitted to a computer terminal 6 through a DSP1 module 4;
in this embodiment, the spectrum data is written into the DSP1 module 4 through the HPI interface, and the spectrum peak signal data is written into the DSP2 module 5 through the HPI interface; the DSP2 module 5 communicates with the DSP1 module 4 through a Rapid IO bus.
And 4, step 4: the computer terminal 6 (terminal software) performs cluster analysis on the relevant parameters of the instantaneous signal and the adaptive threshold obtained in the step 3 and detects whether a frequency hopping communication signal exists;
when a frequency hopping communication signal exists, calculating the hopping rate, the residence time and the frequency set of the frequency hopping communication signal, entering a tracking interference state (entering the tracking interference state to perform targeted narrowband interference on the subsequently occurring frequency hopping signal), and then transmitting the hopping rate, the residence time and the frequency set of the frequency hopping communication signal to the DSP2 module 5 through the DSP1 module 4;
the mode of entering the tracking interference state comprises manual control by an operator and automatic control by a computer terminal 6;
and 5: detecting data written into the DSP2 module 5 in the FPGA unit 1 at regular time; comparing the detected new signal with the frequency set of the frequency hopping communication signal obtained in the step 4; wherein the newly-appeared signal is data in which a spectral peak signal appears at a position which does not exist in the data written into the DSP2 module 5 and is larger than the interference threshold spectral peak signal data;
if the new signal is consistent with the frequency set of the frequency hopping communication signal, writing the position information of the new signal into the tracking interference module 17, and generating an excitation signal with the frequency corresponding to the position information through the tracking interference module 17;
as shown in fig. 4, the definition of the signal on the spectrogram is determined by 6 parameters, such as the signal peak position (i.e., the peak frequency value), the signal peak amplitude, the signal start point position (i.e., the start point frequency value), the signal start point amplitude, the signal end point position (i.e., the end point frequency value), and the signal end point amplitude; in fig. 4, there are 4 signals, i.e., S1-S4, of the signals greater than the threshold, and the point corresponding to the lower vertical line of each signal is the peak point of the signal, and as the name suggests, the spectral peak search is to extract the position and amplitude data corresponding to the peak point of the signal greater than the threshold on the frequency spectrum;
comparing the detected new signal with the frequency set of the frequency hopping communication signal obtained in the step 4; further comprising:
if the frequency set of the new signal is different from the frequency set of the frequency hopping communication signal, counting the new signal until the end of the signal; wherein, in the statistical process:
when the duration of the new signal is consistent with the residence time of the frequency hopping communication signal, the new signal is judged to belong to the frequency of the frequency hopping communication signal, and the frequency of the new signal is added into the frequency set of the frequency hopping communication signal;
when the duration of the new signal is not consistent with the residence time of the frequency hopping communication signal, the new signal is abandoned
Step 6: transmitting the excitation signal obtained in the step 5 to a D/A module 3 for digital-to-analog conversion into an analog radio frequency signal, and then amplifying the analog radio frequency signal by a power amplifier 7 and transmitting the amplified analog radio frequency signal to an antenna through an electronic switch 8 for transmitting out for interference; the strategy is called as 'grabbing head and keeping tail', and is schematically shown in FIG. 3;
after the interference is finished, the original position is continuously detected until the interfered signal disappears; the interference time transmitted by the antenna is less than the dwell time of the frequency hopping communication signal.
As shown in fig. 1-5, a system for implementing tracking interference of ultrashort wave frequency hopping signals according to an embodiment of the present invention includes an FPGA unit 1, the FPGA unit 1 is respectively connected to an a/D module 2, a D/a module 3, a DSP1 module 4, and a DSP2 module 5, the DSP1 module 4 is connected to the DSP2 module 5 through Rapid IO bus communication, the DSP1 module 4 is connected to a computer terminal 6, the D/a module 3 is connected to a power amplifier 7, the power amplifier 7 is connected to an electronic switch 8, the electronic switch 8 is respectively connected to an antenna and a channel module 9, and the channel module 9 is connected to the a/D module 2; the FPGA unit 1 includes: an FFT module 11, a filter module 12 connected to the A/D module 2, an excitation signal generation module 13 connected to the power amplifier 7, an analysis command receiving and analyzing module 14 and a spectrum data writing HPI space module 15 respectively connected to the DSP1 module 4, and a spectrum peak data writing HPI space module 16 and a trace interference module 17 respectively connected to the DSP2 module 5, wherein the spectrum peak data writing HPI space module 16 is connected to a spectrum peak searching and sorting module 18, the trace interference module 17 is connected to the excitation signal generation module 13, the FFT module 11 is respectively connected to the filter module 12, the spectrum data writing HPI space module 15 and the spectrum peak searching and sorting module 18, the computer terminal 6 is used for controlling the system and analyzing the obtained data, the DSP1 module 4 and the DSP2 module 5 are used for processing digital signals, the tracking interference module 17 is configured to generate an excitation signal, the spectrum data write-in HPI space module 15 is configured to store and transmit spectrum data, the spectrum peak searching and sorting module 18 is configured to sort and transmit the searched spectrum peak signals to the spectrum peak data write-in HPI space module 16 for storage, and the analysis command receiving and analyzing module 14 is configured to receive and analyze a command of the computer terminal 6.
In this embodiment, the analysis command receiving and analyzing module 14 is connected to the DSP1 module 4 through an EMIF bus; the tracking interference module 17 is connected with the DSP2 module 5 through an EMIF bus; the frequency spectrum data writing HPI space module 15 is connected with the DSP1 module 4 through an HPI interface on the FPGA unit 1; the spectrum peak data writing HPI space module 16 is connected with the DSP2 module 5 through an HPI interface on the FPGA unit 1; the DSP1 module 4 is connected to the computer terminal 6 via an ethernet network.
As shown in fig. 5, the time-frequency diagram of fig. 5, also called a waterfall diagram, is a three-dimensional diagram formed by splicing frame spectrums in time sequence, and the spectrum amplitude of each point is represented by color. The signal in the time-frequency diagram is a queue composed of continuous signals from a signal starting point to a signal ending point, and the main parameters include signal starting point appearance time (namely, a spectrum frame number), a signal starting point position (namely, frequency), signal starting point amplitude, ending point disappearance time (namely, a spectrum frame number), a signal ending point position, signal starting point amplitude, a difference (namely, a frequency difference) between the ending point and the starting point position, and a difference (namely, a signal duration length, also called dwell time) between the ending point and the starting point time. If the signal exists at a certain frequency point, the signal is a fixed-frequency signal, such as S4; if the signal exists only for a short time at a certain frequency point position, the signal is a short-time signal, also called an instantaneous signal, and the signal is a short-time signal except for S4 in FIG. 5. The frequency hopping signal is also a kind of short-time signal, but all of them have a certain regularity, for example, the duration length is relatively fixed, the frequency hopping signal periodically appears at different frequency points, and the frequency switching time in continuous time is relatively fixed, for example, the short-time signals such as S5, S6, S7, S2, S8, S10 in the figure can be interpreted as frequency hopping signals. And the irregular and disordered short-time signals such as S1, S3 and S9 are burst short-time signals, and the influence of the burst short-time signals needs to be eliminated during cluster analysis if the burst short-time signals are interference.
If a short-time signal appearing on the time-frequency diagram is regarded as a line segment, the head refers to the beginning part of the line segment, and the tail refers to the end part of the line segment. The 'head catching and tail retaining' strategy is that when the interference is started when the signal is just detected, the interference time is required to be less than the time of the signal residence time minus the time of the detected signal, namely, a little time margin is required to be left after the interference is finished to detect the disappearance of the signal, so that the current interference target is determined to be the frequency hopping signal indeed, because the sudden short-time interference signal appearing in the space is also likely to appear in the frequency hopping frequency set, and the signal is not enough to be judged to be the frequency hopping signal only by detecting that the just appearing signal falls in the frequency hopping frequency set, so that the tail retaining is required to further confirm. In addition, since the interference start time is random, even if the signal is a hopping signal, it is impossible to confirm that the signal is a signal which starts at the occurrence of the hopping point, and it is essential and important to leave a tail.
In this embodiment, as in the system shown in fig. 1, the a/D sampling frequency is 204.8MHZ, the intermediate frequency bandwidth is 60MHZ, and one FFT operation is performed on the data at each 8192 sample, so that the time (i.e., the time resolution) generated by each frame of spectrum data is (1/204.8M) × 8192=40 microseconds; the FFT sampling pipeline structure carries out 16384-point short-time Fourier transform on the I/Q data, and the frequency resolution is 6.25 KHZ.
The hopping rate of the tentative frequency hopping signal is 1000 hops/second, the frequency hopping period is 1 millisecond, and the frequency switching time is calculated according to 10%, so that the residence time of the frequency hopping signal is 900 microseconds, 900 microseconds/40 microseconds =22.5 frames, that is, the duration length of the frequency hopping point signal on the time-frequency diagram of fig. 5 is about 22; when interference is tracked, 1 frame is reserved for the head of a reconnaissance signal according to a 'head and tail catching' strategy, 1 frame is required by considering pipeline buffering, and 1 frame time is also reserved in the processes of calculating, starting interference, transmitting a command and transmitting a radio frequency signal to an antenna, and is about 120 microseconds in total; the tail also considers the pipeline buffering factor, and reserves 3 frames of time, which is about 120 microseconds. The actual interference time is 900-240-660 microseconds, and the interference suppression ratio =660/900=70%, regardless of the radio air propagation time factor.
In actual test, the system only completes the tracking interference test on the communication radio stations of 203 hops/second and 609 hops/second, and the effect is good
Therefore, by means of the technical scheme, the complex task is decomposed into a plurality of simple tasks by adopting a plurality of processing centers and a plurality of bus technologies, the tracking interference technology is well realized in a time iteration mode, the difficulty of processing a large data volume in the process of detecting and tracking the interference in real time of the ultrashort wave frequency hopping communication signal is effectively solved, the performance requirement on a processing device is reduced, the whole system architecture has strong expansibility and portability, and practical test tests show that the method can realize effective interference on communication of frequency hopping radio stations with the frequency hopping frequency of less than 1000 hops/second.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims (3)

1. A method for realizing tracking interference of ultrashort wave frequency hopping signals is characterized by comprising the following steps:
step 1: initializing, setting a monitoring working mode and working frequency parameters through a computer terminal (6), and writing the parameters into an analysis command receiving and analyzing module (14) in the FPGA unit (1) through a DSP1 module (4);
step 2: antenna signals are sent to a channel module (9) through an electronic switch (8), then analog-to-digital conversion is carried out in an A/D module (2), filtering is carried out in a filtering module (12), and finally FFT operation is carried out through an FFT module (11);
and step 3: in the step 2, the FFT module (11) outputs two paths of signals after FFT operation:
one path of frequency spectrum data is written into an HPI space module (15) through frequency spectrum data and transmitted to a DSP1 module (4), and the DSP1 module (4) calculates a self-adaptive threshold according to the frequency spectrum data and respectively transmits the self-adaptive threshold to an analysis command receiving and analyzing module (14) and a computer terminal (6);
the other path of spectrum data is subjected to spectrum peak signal searching and sorting through a spectrum peak searching and sorting module (18) to obtain spectrum peak signal data, the spectrum peak signal data is written into an HPI space module (16) through the spectrum peak data and is transmitted to a DSP2 module (5) to be subjected to time-dependent statistical processing to extract complete instantaneous signal related parameters, and the instantaneous signal related parameters are transmitted to a computer terminal (6) through a DSP1 module (4);
and 4, step 4: the computer terminal (6) performs cluster analysis on the instantaneous signal related parameters and the adaptive threshold obtained in the step (3) and detects whether a frequency hopping communication signal exists or not;
when a frequency hopping communication signal exists, calculating the hopping rate, the residence time and the frequency set of the frequency hopping communication signal, entering a tracking interference state, and then transmitting the hopping rate, the residence time and the frequency set of the frequency hopping communication signal to a DSP2 module (5) through a DSP1 module (4), wherein the mode of entering the tracking interference state comprises manual control by an operator and automatic control by a computer terminal (6);
and 5: detecting data written into a DSP2 module (5) in the FPGA unit (1) at fixed time; comparing the detected new signal with the frequency set of the frequency hopping communication signal obtained in the step 4; the newly-appeared signal is data of a spectral peak signal appearing at a position which does not exist originally and is larger than the interference threshold spectral peak signal data in the data written into the DSP2 module (5); if the new signal is consistent with the frequency set of the frequency hopping communication signal, writing the position information of the new signal into a tracking interference module (17), and generating an excitation signal with the frequency corresponding to the position information through the tracking interference module (17);
step 6: and (3) transmitting the excitation signal obtained in the step (5) to a D/A module (3) for digital-to-analog conversion to an analog radio frequency signal, amplifying the analog radio frequency signal by a power amplifier (7), sending the amplified analog radio frequency signal to an antenna through an electronic switch (8), and transmitting the amplified analog radio frequency signal to interfere with the antenna, wherein the interference time transmitted by the antenna is shorter than the residence time of the frequency hopping communication signal, and continuously performing reconnaissance in the original position after the interference is finished until the interfered signal disappears.
2. The method of claim 1, wherein the step 5 compares the detected new signal with the frequency set of the frequency hopping communication signal obtained in the step 4; further comprising: if the frequency set of the new signal is different from the frequency set of the frequency hopping communication signal, counting the new signal until the end of the signal; wherein, in the statistical process: when the duration of the new signal is consistent with the residence time of the frequency hopping communication signal, the new signal is judged to belong to the frequency of the frequency hopping communication signal, and the frequency of the new signal is added into the frequency set of the frequency hopping communication signal; and when the duration of the new signal is not consistent with the residence time of the frequency hopping communication signal, discarding the new signal.
3. The system for realizing the ultrashort wave frequency hopping signal tracking interference is characterized by comprising an FPGA unit (1), wherein the FPGA unit (1) is respectively connected with an A/D module (2), a D/A module (3), a DSP1 module (4) and a DSP2 module (5), the DSP1 module (4) and the DSP2 module (5) are in communication connection through a Rapid IO bus, the DSP1 module (4) is connected with a computer terminal (6), the D/A module (3) is connected with a power amplifier (7), the power amplifier (7) is connected with an electronic switch (8), the electronic switch (8) is respectively connected with an antenna and a channel module (9), and the channel module (9) is connected with the A/D module (2); the FPGA unit (1) comprises: an FFT module (11), a filtering module (12) connected with the A/D module (2), an excitation signal generating module (13) connected with the power amplifier (7), an analysis command receiving and analyzing module (14) and a spectrum data writing HPI space module (15) respectively connected with the DSP1 module (4), and a spectrum peak data writing HPI space module (16) and a tracking interference module (17) respectively connected with the DSP2 module (5), wherein the spectrum peak data writing HPI space module (16) is connected with a spectrum peak searching and sorting module (18), the tracking interference module (17) is connected with the excitation signal generating module (13), the FFT module (11) is respectively connected with the filtering module (12), the spectrum data writing HPI space module (15) and the spectrum peak searching and sorting module (18), wherein the analysis command receiving and analyzing module (14) is connected with the DSP1 module (4) through an EMIF bus, the tracking interference module (17) is connected with the DSP2 module (5) through an EMIF bus, the spectrum data writing HPI space module (15) is connected with the DSP1 module (4) through an HPI interface on the FPGA unit (1), and the DSP1 module (4) is connected with the computer terminal (6) through an Ethernet.
CN201811356553.5A 2018-11-15 2018-11-15 System and method for realizing ultrashort wave frequency hopping signal tracking interference Active CN109462422B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811356553.5A CN109462422B (en) 2018-11-15 2018-11-15 System and method for realizing ultrashort wave frequency hopping signal tracking interference

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811356553.5A CN109462422B (en) 2018-11-15 2018-11-15 System and method for realizing ultrashort wave frequency hopping signal tracking interference

Publications (2)

Publication Number Publication Date
CN109462422A CN109462422A (en) 2019-03-12
CN109462422B true CN109462422B (en) 2021-06-18

Family

ID=65610423

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811356553.5A Active CN109462422B (en) 2018-11-15 2018-11-15 System and method for realizing ultrashort wave frequency hopping signal tracking interference

Country Status (1)

Country Link
CN (1) CN109462422B (en)

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111010209A (en) * 2019-12-13 2020-04-14 上海创远仪器技术股份有限公司 Circuit structure for realizing real-time frequency hopping communication interference suppression
CN111404636B (en) * 2020-03-10 2022-03-04 珠海格力电器股份有限公司 Communication method, device and system capable of reducing bus interference
CN111555837B (en) * 2020-04-13 2023-06-27 安徽白鹭电子科技有限公司 Ultra-short wave communication self-adaptive interference method and system
CN112152662B (en) * 2020-08-26 2021-06-25 南京云天致信信息科技有限公司 Frequency hopping communication system and communication method for multi-frequency transmission
CN113472389B (en) * 2021-06-30 2022-04-01 中航光电科技股份有限公司 Low-delay configurable wireless rapid frequency hopping system based on FPGA
CN114050951B (en) * 2021-10-30 2023-05-02 西南电子技术研究所(中国电子科技集团公司第十研究所) Blind estimation method for parameters of ultrashort wave frequency hopping signals
CN115085761B (en) * 2022-07-19 2022-11-04 成都华日通讯技术股份有限公司 Asynchronous frequency hopping network station sorting method based on frequency hopping description word
CN116886124B (en) * 2023-09-05 2023-11-14 成都九华圆通科技发展有限公司 Frequency hopping signal tracking and suppressing method

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104485979A (en) * 2014-12-09 2015-04-01 西安电子科技大学 Blind estimation method for underdetermined hybrid frequency hopping parameters based on time frequency diagram correction
WO2016137074A1 (en) * 2015-02-24 2016-09-01 양희진 Radar device and frequency interference cancellation method thereof
CN106685478A (en) * 2016-12-19 2017-05-17 电子科技大学 Estimation method for frequency hopping signal parameter extracted based on signal time-frequency image information
CN107273860A (en) * 2017-06-20 2017-10-20 电子科技大学 Frequency Hopping Signal dynamic clustering extracting method based on connected component labeling
CN107835036A (en) * 2017-09-15 2018-03-23 西南电子技术研究所(中国电子科技集团公司第十研究所) Non- cooperation Frequency Hopping Signal crack method
CN108366033A (en) * 2018-02-08 2018-08-03 上海无线通信研究中心 Detection method/system, computer readable storage medium and the equipment of signal of communication
CN108462509A (en) * 2018-03-26 2018-08-28 西安电子科技大学 Asynchronous frequency hopping net platform method for separating based on time-frequency figure information

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104485979A (en) * 2014-12-09 2015-04-01 西安电子科技大学 Blind estimation method for underdetermined hybrid frequency hopping parameters based on time frequency diagram correction
WO2016137074A1 (en) * 2015-02-24 2016-09-01 양희진 Radar device and frequency interference cancellation method thereof
CN106685478A (en) * 2016-12-19 2017-05-17 电子科技大学 Estimation method for frequency hopping signal parameter extracted based on signal time-frequency image information
CN107273860A (en) * 2017-06-20 2017-10-20 电子科技大学 Frequency Hopping Signal dynamic clustering extracting method based on connected component labeling
CN107835036A (en) * 2017-09-15 2018-03-23 西南电子技术研究所(中国电子科技集团公司第十研究所) Non- cooperation Frequency Hopping Signal crack method
CN108366033A (en) * 2018-02-08 2018-08-03 上海无线通信研究中心 Detection method/system, computer readable storage medium and the equipment of signal of communication
CN108462509A (en) * 2018-03-26 2018-08-28 西安电子科技大学 Asynchronous frequency hopping net platform method for separating based on time-frequency figure information

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
短波低截获概率通信信号的检测与调制识别;王辉;《中国优秀硕士学位论文全文数据库》;20140215;12,13,30,31,34-37 *
短波宽带侦察中的信号分选与检测;徐启华;《中国优秀硕士学位论文全文数据库》;20071115;全文 *
跳频信号实时解跳的实现研究;赖香山;《中国优秀硕士学位论文全文数据库》;20061215;34,35,37-41,60,75 *

Also Published As

Publication number Publication date
CN109462422A (en) 2019-03-12

Similar Documents

Publication Publication Date Title
CN109462422B (en) System and method for realizing ultrashort wave frequency hopping signal tracking interference
Ureten et al. Wireless security through RF fingerprinting
US7929508B1 (en) Radio frequency signal analysis and classification using time-frequency information
US7035593B2 (en) Signal classification methods for scanning receiver and other applications
CN111510255B (en) Frequency hopping signal blind detection and parameter estimation method based on broadband frequency spectrum data
CN102263601A (en) Multi-signal detecting method for broadband
CN105071830B (en) A kind of detection recognition method of direct sequence signal
US20230300529A1 (en) Divisive normalization method, device, audio feature extractor and a chip
Ye et al. A new frequency hopping signal detection of civil UAV based on improved k-means clustering algorithm
Afgani et al. Anomaly detection using the Kullback-Leibler divergence metric
CN100375401C (en) Narrowband interference eliminating method and apparatus in spread-spectrum system
CN108155959B (en) Unmanned aerial vehicle measurement and control signal detection method under complex network environment
CN112968720B (en) Non-uniform frequency hopping signal time domain detection and splicing method
CN110146922A (en) The double seismometer interference identification methods of high speed rail earthquake pre-warning system list
EP1865639A1 (en) A method and an apparatus for eliminating the narrow-band interference in the spread spectrum system
Bastwesy et al. Deep learning sign language recognition system based on wi-fi csi
CN107040269B (en) Pole based on variance median filtering/ultralow frequency channel atmospheric noise suppressing method
CN112929141A (en) Unmanned aerial vehicle detection and identification method and system based on graph-borne signal matching
CN107395300A (en) A kind of modified interference detection method based on CME
CN116155319A (en) Electromagnetic situation monitoring and analyzing system and method
CN114696922B (en) Frequency hopping signal detection method suitable for unmanned aerial vehicle communication
CN109617839A (en) A kind of Morse signal detection method based on Kalman filtering algorithm
CN105467270B (en) Single Terminal Traveling Wave Fault Location back wave identification algorithm based on frequency spectrum similarity evaluation
JP5252430B2 (en) Signal detection method, program, information storage medium, and sensor
CN113824518A (en) Non-cooperative signal detection method based on frequency spectrum

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant