CN107038340A - The device and method of thermal noise data is found in a kind of A/C and S mode overlap signal - Google Patents
The device and method of thermal noise data is found in a kind of A/C and S mode overlap signal Download PDFInfo
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Abstract
The present invention discloses the device and method that thermal noise data are found in a kind of A/C patterns and S mode overlap signal.The device includes data acquisition unit, data processing unit and data outputting unit；Data acquisition unit is used to gather a segment signal data in A/C patterns and S mode overlap signal；Data processing unit is used to be handled the signal data of collection, and is sent to the data outputting unit；Data outputting unit is used for the data output after data processing unit is handled；Apparatus and method proposed by the present invention, thermal noise data can be searched out in the Overlapping data section that arbitrarily long A/C mode datas and noise, S mode signal data and noise or A/C mode datas+S mode signal data and noise are constituted, this method has preferable real-time and adaptivity, can preferably realize the estimation of thermal noise Data Data and its statistical property in Overlapping data.This method can be not limited to the searching of thermal noise data in practice, can be also found that clutter or the searching with random nature data.
Description
Technical field
Heat is found the present invention relates to thermal noise data processing field, in more particularly to a kind of A/C and S mode overlap signal to make an uproar
The device and method of sound data.
Background technology
A/C patterns and S mode are MLAT (multiple spot surveillance technology) system, ADS-B (Automatic dependent surveillance broadcast) and two
The primary communication link agreement of secondary radar system, is widely used to civil aviaton's traffic control field.A/C patterns and S mode signal
Centre frequency be 1090MHz, and belong to pulse-position modulation, i.e., represent information using the position and level of subpulse.
In practice, generally require accurately to carry out the statistical property that A/C patterns and S mode receive thermal noise in signal
Estimation, the statistical property of estimated thermal noise will play a key effect in follow-up decoding process.
The statistical property method of estimation of conventional thermal noise is to find the number of one section of no signal (A/C patterns and S mode signal)
Estimated according to section (only existing thermal noise in data).In practice, this method has following two：
(1) when emission source number is more, following situation often there is in real data：Different amplitudes, different length A/
C mode and S mode signal are overlapped, and show as all there is signal+noise in longer receiving data segment, it is difficult to find
One section of data segment (data for only existing thermal noise) suitable enough carries out the estimation of thermal noise statistical property.
(2) in practice, system and environmental properties all change, it is necessary in real time and adaptively thermal noise characteristic is entered
Row estimation, the real-time and adaptivity of conventional method is poor.
The present invention proposes a kind of method, can be in arbitrarily long A/C mode datas+noise, S mode signal data+noise
Or search out thermal noise data in the blended data section that is constituted of A/C mode datas+S mode signal data+noise, this method tool
There are preferable real-time and adaptivity, can preferably realize the estimation of thermal noise statistical property.
This method can be not limited to the searching of thermal noise data in practice, can be also found that clutter or with random nature data
Searching.
The content of the invention
It is an object of the invention to provide the device and method that thermal noise data are found in a kind of A/C and S mode overlap signal,
In time-domain, a data sliding window is set, the data sliding window is constantly enterprising in the data sequence of received signal
Line slip, judges and searches out the thermal noise data for meeting statistical property requirement, and the data are put into sample estimates concentration；If
A sample estimates collection is put, desired thermal noise data are met for depositing；Set when the number of data in sample estimates collection is more than
During fixed number amount, searching and the rejecting abnormalities point of abnormity point are carried out.When the data number of the sample estimates collection of rejecting abnormalities point is big
When the threshold value of setting, then the statistical property of thermal noise can be estimated.
To achieve the above object, the invention provides following scheme：
The device of thermal noise data is found in a kind of A/C and S mode overlap signal, including at data acquisition unit, data
Manage unit and data outputting unit；The data acquisition unit is used to gather a segment signal in A/C patterns and S mode overlap signal
Data；The signal data that the data processing unit is used to gather the data acquisition unit is handled, and is sent to institute
State data outputting unit；The data outputting unit is used for the data output after data processing unit processing.
A kind of method that thermal noise data are found in A/C patterns and S mode overlap signal, including：
A segment signal data in step 201, collection A/C patterns and S mode overlap signal, define cycle-index I, initialization
The cycle-index I is 1；
Step 202, by the signal data be stored in data sliding window；
Step 203, the rising edge and trailing edge for deleting the pulse of signal data in the data sliding window；
Signal data is by the ascending sequence of range value in step 204, the data sliding window for obtaining the 3rd step；
Step 205, judge whether the cycle-index is 1, be to perform step 206, no execution step 207；
Top n signal data deposit sample estimates collection in step 206, the acquisition data sliding window, and delete described
The top n signal data in data sliding window, N is more than 1 and less than or equal to the data sliding window size value；
Step 207, the 1st value x obtained in the data sliding windoww1, calculate the average of the sample estimates collection
And standard deviation sigman；
Step 208, judgementWhether c is more thannσn, wherein cnIt is to define constant, may be set to 2.6~4, is to delete
Step 210, no execution step 209 are performed in the data sliding window after all data；
Step 209, by the xw1It is put into the sample estimates collection, and deletes described out of described data sliding window
xw1, perform step 207；
Step 210, judge it is described assessment sample set data number whether be more than C1, C1 is to define constant, C1 definables
For the integer more than 10, more than or equal to C1, then carry out abnormity point removal processing using the abnormity point processing method in cluster and obtain
Data in sample estimates collection after abnormity point removal, then perform step 211；Less than C1, then the data sliding window along when
Countershaft crosses over the length of a data sliding window, then reloads new data；The cycle-index I adds 1, performs step
203；
Step 211, judge the abnormity point remove after sample estimates collection in data number whether be more than C2, C2 is definition
Constant, more than C2, then the statistical property estimation for carrying out thermal noise using the data in the sample estimates collection is handled；Less than C2,
Then length of the data sliding window along time shaft across a data sliding window, then reload new data；Institute
State cycle-index I and plus 1, perform step 203；
Step 212, the data in the sample estimates collection are subjected to ascending sequence, and the data after sequence are put
Enter in sample estimates collection；C3 data behind the sample estimates collection are deleted, C3 is to define constant, obtains new sample estimates
Collect data.
The specific embodiment provided according to the present invention, the invention discloses following technique effect：
The installation method of thermal noise data is found in a kind of A/C and S mode overlap signal of the present invention, can be arbitrarily long
A/C mode datas and noise, S mode signal data and noise or A/C mode datas+S mode signal data and noise are constituted
Blended data section in search out thermal noise data, this method has preferable real-time and adaptivity, can be preferably real
The estimation of existing thermal noise statistical property.This method can be not limited to the searching of thermal noise data in practice, can be also found that clutter or
Searching with random nature data.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to institute in embodiment
The accompanying drawing needed to use is briefly described, it should be apparent that, drawings in the following description are only some implementations of the present invention
Example, for those of ordinary skill in the art, without having to pay creative labor, can also be according to these accompanying drawings
Obtain other accompanying drawings.
Fig. 1 is the structural representation of the device of searching thermal noise data in a kind of A/C of the invention and S mode overlap signal；
Fig. 2 is the schematic flow sheet of the method for searching thermal noise data in a kind of A/C of the invention and S mode overlap signal.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of protection of the invention.
It is an object of the invention to provide the device and method that thermal noise data are found in a kind of A/C and S mode overlap signal,
Can be in arbitrarily long A/C mode datas and noise, S mode signal data and noise or A/C mode datas+S mode signal data
Thermal noise data are searched out in the blended data section constituted with noise, this method has preferable real-time and adaptivity,
The estimation of thermal noise statistical property can preferably be realized.This method can be not limited to the searching of thermal noise data in practice, also
Clutter or the searching with random nature data can be found.
In order to facilitate the understanding of the purposes, features and advantages of the present invention, it is below in conjunction with the accompanying drawings and specific real
Applying mode, the present invention is further detailed explanation.
Embodiment：
As shown in Figure 1 and Figure 2, the device of thermal noise data is found in a kind of A/C and S mode overlap signal, including data are adopted
Collect unit (1), data processing unit (2) and data outputting unit (3)；The data acquisition unit (1) is used to gather A/C patterns
With a segment signal data in S mode overlap signal；The data processing unit (2) is used to adopt the data acquisition unit (1)
The signal data of collection is handled, and is sent to the data outputting unit (3)；The data outputting unit (3) is used for institute
State the data output after data processing unit (2) processing.
A kind of method that thermal noise data are found in A/C and S mode overlap signal, including：
Step 201, an integer variable is defined as cycle-index, and the initial value of cycle-index is set to 1；Setting two
Individual data set, one is sample estimates collection, in initial setting, element-free in sample estimates collection；One is data sliding window,
Data sliding window contains the data (signal+noise) of one section of real-time reception, and data sliding window can be in received signal
Optional position in data sequence starts；
Step 202, by signal data be stored in data sliding window；
Step 203, the rising edge and trailing edge for deleting pulse in data sliding window.
Step 204, the data in data sliding window are carried out after ascending sequence (range value), and be reentered into
Data sliding window.Because thermal noise values are generally less than signal value, sequence handles thermal noise data and existed the number of signal
According to separately：Thermal noise data are come before data sliding window, and the data that there is signal are come after data sliding window
Face, this is conducive to follow-up processing；
Step 205, judge whether the cycle-index is 1, be to perform step 206, no execution step 207；
Top n signal data deposit sample estimates collection in step 206, the acquisition data sliding window, and delete described
The top n signal data in data sliding window, N is more than 1 and less than or equal to the data sliding window size value；
Step 207, the 1st value x obtained in the data sliding windoww1, calculate the average of the sample estimates collection
And standard deviation sigman；
Step 208, judgementWhether c is more thannσn, wherein cnIt is to define constant, may be set to 2.6~4, is to delete
Step 210, no execution step 209 are performed in the data sliding window after all data；
Step 209, by the xw1It is put into the sample estimates collection, and deletes described out of described data sliding window
xw1；Perform step 207；
Step 210, judge it is described assessment sample set data number whether be more than C1, C1 is to define constant, C1 definables
For the integer more than 10, more than or equal to C1, then carry out abnormity point removal processing using the abnormity point processing method in cluster and obtain
Data in sample estimates collection after abnormity point removal, then perform step 211；Less than C1, then the data sliding window along when
Countershaft crosses over the length of a data sliding window, then reloads new data；The cycle-index I adds 1, performs step
203；
Step 211, the data in the sample estimates collection are subjected to ascending sequence, and the data after sequence are put
Enter in sample estimates collection；C3 data behind the sample estimates collection are deleted, C3 is to define constant, may be defined as sample estimates
The 1/10~1/3 of data number, obtains new sample estimates collection data in collection.The data sliding window is crossed over along time shaft
The length of one data sliding window, then reload new data；The cycle-index I adds 1, performs step 203；
Step 212, to use data in sample estimates collection data carry out thermal noise statistical property estimation processing, then estimate
Data number needs to be more than C2 in meter sample set, and C2 is to define constant, and C2 and the estimated accuracy of required noise characteristic have
Close, can be determined according to required precision.
C in above-mentioned stepsn, C1, C2, C3, N be all pre-defined positive integer value.
Specific case used herein is set forth to the principle and embodiment of the present invention, and above example is said
The bright method and its core concept for being only intended to help to understand the present invention；Simultaneously for those of ordinary skill in the art, foundation
The thought of the present invention, will change in specific embodiments and applications.In summary, this specification content is not
It is interpreted as limitation of the present invention.
Claims (2)
1. the device of thermal noise data is found in a kind of A/C patterns and S mode overlap signal, it is characterised in that adopt including data
Collect unit, data processing unit and data outputting unit；The data acquisition unit is used to gather A/C patterns and S mode is overlapping
A segment signal data in signal；The data processing unit is used at the signal data that gathers the data acquisition unit
Reason, and it is sent to the data outputting unit；The data outputting unit is used for the number after data processing unit processing
According to output.
2. the method for thermal noise data is found in a kind of A/C patterns and S mode overlap signal, it is characterised in that including step：
1）, a segment signal data in collection A/C patterns and S mode overlap signal, define cycle-index I, initialize the circulation
Number of times I is 1；
2）, by the signal data be stored in data sliding window；
3）, delete the rising edge and trailing edge of the pulse of signal data in the data sliding window；
4）, in the data sliding window that obtains the 3rd step signal data by the ascending sequence of range value；
5）, judge whether the cycle-index is 1, be perform step 6, it is no execution step 7；
6）, obtain top n signal data deposit sample estimates collection in the data sliding window, and delete the data sliding window
The intraoral top n signal data, N is more than 1 and less than or equal to the data sliding window size value；
7）, the 1st value x obtaining in the data sliding windoww1, calculate the average of the sample estimates collectionAnd standard deviation
σn；
8）, judgeWhether c is more thannσn, wherein cnBe 2.6~4 constant, more than then deleting the data sliding window
Step 10 is performed after interior all data, less than or equal to execution step 9；
9）, by the xw1It is put into the sample estimates collection, and the x is deleted out of described data sliding windoww1, perform step
7；
10）, judge whether the data number of the assessment sample set is more than C1, C1 is greater than 10 integer, more than or equal to C1 then
Abnormity point removal processing, which is carried out, using the abnormity point processing method in cluster obtains number in the sample estimates collection after abnormity point is removed
According to, then perform step 11, less than C1, then length of the data sliding window along time shaft across a data sliding window
Degree, then reload new data；The cycle-index I adds 1, performs step 3；
11）, judge the abnormity point remove after sample estimates collection in data number whether be more than C2, C2 be defined as with it is required
Noise characteristic the relevant constant of estimated accuracy, more than C2, then carry out heat using the data in the sample estimates collection and make an uproar
The statistical property estimation processing of sound；Less than or equal to C2, then the data sliding window is slided along time shaft across a data
The length of window, then reload new data；The cycle-index I adds 1, performs step 3；
12）, the data in the sample estimates collection are subjected to ascending sequence, and the data after sequence are put into estimation sample
In this collection；Delete C3 data behind the sample estimates collection, C3 be defined as data number in sample estimates collection 1/10~
1/3, obtain new sample estimates collection data.
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