CN113904703B - Continuous spectrum random signal carrier communication method - Google Patents

Continuous spectrum random signal carrier communication method Download PDF

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CN113904703B
CN113904703B CN202111079669.0A CN202111079669A CN113904703B CN 113904703 B CN113904703 B CN 113904703B CN 202111079669 A CN202111079669 A CN 202111079669A CN 113904703 B CN113904703 B CN 113904703B
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CN113904703A (en
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邱景辉
马翰驰
邱爽
王楠楠
刘北佳
亚历山大·杰尼索夫
瓦西里·马列伯尼
吴超
蒋哲
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Hainan Harbin University Of Technology Innovation Research Institute Co ltd
Harbin Jihe Technology Co ltd
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Harbin Jihe Technology Co ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B1/00—Details 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
    • H04B1/69—Spread spectrum techniques
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H04B17/309—Measuring or estimating channel quality parameters
    • H04B17/336—Signal-to-interference ratio [SIR] or carrier-to-interference ratio [CIR]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04K—SECRET COMMUNICATION; JAMMING OF COMMUNICATION
    • H04K3/00—Jamming of communication; Counter-measures
    • H04K3/80—Jamming or countermeasure characterized by its function
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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Abstract

The invention discloses a continuous spectrum random signal carrier communication method, which comprises the following steps: enabling a noise source to generate white noise, and converting the white noise into broadband noise in a preset frequency band by adopting a band-pass filter; amplifying the broadband noise by using an operational amplifier, and modulating the amplified broadband noise by using an information source to obtain a signal with information; processing the signal with the information through a detector to obtain an initial voltage signal; and a multistage cascade circuit of a subtracter and an operational amplifier is adopted to cancel the noise in the initial voltage signal, and a final voltage signal is obtained and output. The method fully utilizes spectrum resources by a continuous spectrum carrier modulation mode, and realizes an ultra-low power spectral density communication system, wherein the power spectral density of the communication system is lower than that of noise floor, namely the signal-to-noise ratio is lower than 1.

Description

Continuous spectrum random signal carrier communication method
Technical Field
The invention relates to the technical field of carrier communication, in particular to a continuous spectrum random signal carrier communication method.
Background
In the existing wireless communication system, if the signal source of the baseband is not modulated, the frequency of the signal source is very low, and wireless transmission cannot be performed, so that a carrier needs to be modulated by the baseband signal, and the signal source is moved to the radio frequency spectrum of the carrier to perform wireless transmission.
The continuous wave modulation technology transmits information by controlling the amplitude, frequency and phase of a carrier wave through a signal source signal, which is the most widely applied modulation mode in the existing communication system. The pulse modulation technology uses digital pulses as carriers, specifically, pulse Amplitude Modulation (PAM), pulse Width Modulation (PWM), and pulse interval modulation (PPM) can be used to carry information, and pulse modulation is used for ultra-wideband communication widely used in short-distance wireless transmission and indoor precise positioning, for example.
However, in any of the above communication systems, the concept of continuous wave refers to continuous time signals, and the radio frequency spectrum of the signals is a discrete spectrum, that is, in the case of not considering channel noise, the radio frequency spectrum has amplitudes on only a few frequencies at each determined time, and the amplitudes of other frequency points are zero.
The ultra-wideband communication technology adopting pulse modulation utilizes narrow pulses of nanosecond to microsecond level to transmit data, the pulse signals are discrete in time domain and frequency domain, and the radio frequency spectrum is a plurality of discrete spectrum sequences with the reciprocal of the pulse period as the frequency interval and the reciprocal of the pulse width as the frequency bandwidth.
The discrete frequency spectrum only utilizes some frequency points in the frequency domain, and a plurality of frequency points in the frequency domain are not fully utilized, and from the power spectrum of the signal, the total radio frequency power of the signal is the sum of the powers of the discrete frequency points, so that the frequency spectrum bandwidth of ultra-wideband communication is very wide, and the power spectrum density of the ultra-wideband communication is reduced to a certain extent due to the existence of a plurality of discrete frequency spectrum sequences, but the utilization rate of the frequency spectrum is still not high, and the power spectrum density of the ultra-wideband communication is not low enough.
If each frequency point can be utilized in the frequency domain to form a continuous frequency spectrum, the frequency domain resources can be fully utilized, the utilization rate of the frequency spectrum is improved, meanwhile, the power spectrum density can be obviously reduced, and extremely strong information transmission concealment is brought by extremely low power spectrum density.
Disclosure of Invention
The present invention is directed to solving, at least to some extent, one of the technical problems in the related art.
To this end, an object of the present invention is to provide a continuous spectrum random signal carrier communication method, which makes full use of spectrum resources and has a power spectral density lower than that of noise floor.
In order to achieve the above object, an embodiment of the present invention provides a continuous spectrum random signal carrier communication method, including the following steps: generating white noise by a noise source, and converting the white noise into broadband noise in a preset frequency band by adopting a band-pass filter; amplifying the broadband noise by using an operational amplifier, and modulating the amplified broadband noise by using an information source to obtain a signal with information; processing the signal with the information through a detector to obtain an initial voltage signal; and a multistage cascade circuit of a subtracter and an operational amplifier is adopted to cancel the noise in the initial voltage signal, and a final voltage signal is obtained and output.
The continuous spectrum random signal carrier communication method of the embodiment of the invention carries out theoretical and technical innovation on the prior communication, is different from all prior communication systems, adopts real continuous spectrum random signals as carriers, has extremely low power spectral density, greatly enhances the concealment of the communication, has better radio frequency concealment effect than spread spectrum communication, and does not generate interference on the prior communication systems, so that the selectable spectrum resources are very rich, the transmission speed of the continuous spectrum communication technology can be greatly improved, and the continuous spectrum communication technology can become an important supplement in the prior wireless communication technology on the basis of not changing the prior communication system; in addition, the method for improving the sensitivity of the sensor adopted by the receiver part enables the transmission, the reception and the demodulation of the signal with extremely low power spectral density to be possible, and even can improve the transmission distance, thereby having great value for military and civil use; meanwhile, signal detection demodulation with the signal-to-noise ratio lower than 1 can be realized through noise cancellation of the receiver, and great innovation is brought to the receiver of a communication system; in other words, the embodiment of the invention realizes continuous spectrum random signal carrier communication with ultra-low power spectral density through links of signal generation, modulation, reception, demodulation and the like.
In addition, the continuous spectrum random signal carrier communication method according to the above embodiment of the present invention may further have the following additional technical features:
further, in an embodiment of the present invention, the white noise is a continuous spectrum, and through the concepts of statistical radio theory and time-frequency analysis, the white noise can be inversely deduced from its power spectral density to be a continuous spectrum.
Further, in one embodiment of the present invention, the initial voltage signal includes signal frequency integral, ambient noise, and thermal noise of the receiver.
Further, in an embodiment of the present invention, the initial voltage signal is:
Figure BDA0003263512590000021
wherein v is n1 (t) is the initial voltage signal, A (t) n (f, t) is the frequency from f 1 To f 2 A (t) is a modulation signal, m is a near statisticThe mean value is multiplied by a constant of the bandwidth.
Further, in an embodiment of the present invention, the step S4 specifically includes: and processing signal frequency integration, environmental noise and thermal noise of a receiver by adopting a multi-stage cascade circuit of a subtracter and an operational amplifier, and canceling the environmental noise and the thermal noise of the receiver to obtain the final voltage signal.
Further, in an embodiment of the present invention, the final voltage signal is:
v n2 (t)＝mA(t)+m T0 +m T1
wherein v is n2 (t) is the final voltage signal, A (t) is the modulation signal, m is a constant that approximates the statistical mean multiplied by the bandwidth, m is T0 As ambient noise, m T1 Is the thermal noise of the receiver.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
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The foregoing and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a flow chart of a continuous spectrum random signal carrier communication method of one embodiment of the present invention;
FIG. 2 is a schematic time-frequency diagram of a noise signal according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of the ultra-low power spectral density of a signal and the power spectral density of ambient noise according to one embodiment of the present invention;
FIG. 4 is a plot of the instantaneous spectrum of a noise signal according to one embodiment of the present invention;
FIG. 5 is a schematic representation of the modulated signal A (t) n (f, t) power spectral density according to one embodiment of the present invention;
FIG. 6 is a block diagram of a transmitter system of one embodiment of the present invention;
fig. 7 is a block diagram of a receiver system in accordance with one embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
A continuous spectrum random signal carrier communication method proposed according to an embodiment of the present invention is described below with reference to the accompanying drawings.
Fig. 1 is a flow chart of a method of continuous spectrum random signal carrier communication in accordance with one embodiment of the present invention.
As shown in fig. 1, the continuous spectrum random signal carrier communication method includes the following steps:
in step S1, a white noise is generated from the noise source, and the white noise is converted into a wideband noise within a preset frequency band by using a band-pass filter.
Further, in an embodiment of the present invention, the white noise is a continuous spectrum, and the white noise spectrum is a continuous spectrum that can be reversely deduced from the power spectral density of the white noise through the concepts of statistical radio theory and time-frequency analysis.
Specifically, in the embodiment of the present invention, a random signal emitted by a noise source is used as a carrier, that is, white noise, as shown in fig. 2, white noise is a signal that is random in both time domain and frequency domain. It should be noted that while white noise is an idealized model, in practice, stochastic signals can be treated as white noise when the stochastic process studied by those skilled in the art has a uniform power spectral density over a much wider range than the useful frequency band under consideration.
Furthermore, because the random noise signal is used as a carrier, the radio frequency spectrum of the random noise signal is a real continuous spectrum at any time, and the random noise signal refers to a signal with the power spectrum density uniformly distributed in a frequency band, the instantaneous spectrum is continuous corresponding to each instantaneous time, because the random signal is not a determined signal, the conventional method of taking Fourier transform on a time domain signal and then analyzing the spectrum cannot be adopted when analyzing the signal.
It can be understood that, because the radio frequency spectrum of the signal is a continuous spectrum, the power of the signal is distributed in the whole frequency band, the power spectral density of a unit frequency point is greatly reduced, which is lower than that of any existing communication means, and the ultra-low power spectral density brings a wide application prospect on the one hand, such as radio-frequency stealth, low-interference high-speed wireless communication and the like.
The method specifically comprises the following steps: because the embodiment of the invention takes the noise signal as the signal carrier, the noise signal is a stable random process distributed in the whole frequency band, and theoretically, the power is infinite and no Fourier transform exists, so that the spectrum analysis of the random signal can not adopt the same analysis mode as the traditional signal, but introduces the theory of statistical radio, and the analysis process is as follows:
from the knowledge of the fourier transform, the person skilled in the art knows a function s (t) if it can be fourier transformed:
Figure BDA0003263512590000041
Figure BDA0003263512590000042
if true, the function s (t) must satisfy the following condition
Figure BDA0003263512590000051
Figure BDA0003263512590000052
If s (t) represents voltage, the above equation states that the total energy required for this signal is finite.
However, for a random process x (t), it is clear that the above condition is not met, since the duration of a random process is infinitely long, so the total energy is not limited. But although the total energy of the random process is infinite, its average power is finite.
Figure BDA0003263512590000053
If x (t) represents voltage or current, then P represents the average power consumed by process x (t) over a 1 ohm resistance, so it is meaningful for embodiments of the present invention to study the power spectrum of a random process.
In addition, x (T) represents a sample function of the random process x (T), and in the embodiment of the invention, a section with the length of 2T is arbitrarily intercepted in x (T) and is marked as x T (t)
Figure BDA0003263512590000054
For x of such a duration T (t) its Fourier transform is present
Figure BDA0003263512590000055
Figure BDA0003263512590000056
X T (ω) is then x T (t) spectrum function due to x T (t) is a random function, with no definite expression, so its spectral function X T (ω) is also a random function without a definite expression.
Due to x T (t) is a sample function of the stochastic process, which depends on the test result, and which sample function is random in the test result, so X T (omega) and x T (t) is also a random function of the test sample.
Figure BDA0003263512590000061
The power spectral density of a signal is a function of frequency: (1) When it is integrated over the whole frequency range, the total power of the signal is given; (2) It describes the case of power distribution over various frequencies.
In the above formula
Figure BDA0003263512590000062
The above characteristics are provided. It represents the average power dissipated by a sample function x (t) of the stochastic process over a resistance of 1 ohm within a unit frequency band. Embodiments of the present invention therefore refer to it as the power spectral density function of the sample function x (t), and use G x (ω, ξ) means, i.e.
Figure BDA0003263512590000063
At the upper partG x (ω, ξ) and X T The symbols xi are introduced in (ω, xi) indicating that they are functions of the experimental results xi, i.e. they are all random functions.
The above formula is used to average all samples statistically to obtain
Figure BDA0003263512590000064
At this time G x (ω) is already a deterministic function of ω and is not random. Example of the invention G x (ω) is defined as the power spectral density function of the stochastic process x (t).
The embodiment of the invention adopts a random signal, namely white noise as a carrier, and the white noise carrier has the important characteristic that the white noise is a stable random process with ergodic performance, and the probability density of the white noise does not change along with the difference of time starting points.
Taking the statistical mean of all samples is difficult to achieve under realistic conditions. Mathematicians for this question gave: under certain complementary conditions, the time average value of a sample function of a stable random process (the observation time is long enough) is approached to the statistical (aggregate) average value of all samples of the process in a probability sense. For such a random process, it is said to be ergodic or ergodic.
The ergodicity of the random process can be understood as that each sample of the random process equally experiences various possible states of the random process, so that the characteristics of any sample can sufficiently represent the characteristics of the whole random process by obtaining all statistical information of the random process from any sample of the random process.
The random process with ergodicity becomes an ergodicity process, and the mathematical expectation of the ergodicity process can be calculated by the following formula:
Figure BDA0003263512590000071
therefore, it is not only easy to use
Figure BDA0003263512590000072
The ergodicity of the random process has important practical significance. It is difficult to statistically determine the mathematical expectation and correlation function of the process from a large number of samples, but using the ergodic nature of the process, one sample can be selected and recorded for a long time under the same condition, and then the mathematical expectation and correlation function can be determined by using the method of time averaging, which greatly simplifies the work. The observation time for the random process is always limited, so when the above formula is used for time averaging, only a finite time can be used for replacing an infinite time, which brings certain errors to the result, but the time taken is long enough to meet the practical requirement.
White noise is defined as a random process n (t) whose power spectral density is uniformly distributed over the entire frequency range, i.e. its spectrum density
Figure BDA0003263512590000073
Then n (t) is said to be white noise. The white noise defined above is theoretically not present because the signal average power defined by the above formula is infinite, while the actual stochastic process always has a finite average power, and in fact, when the stochastic process under consideration has a uniform power spectral density over a much wider range than the useful frequency band under consideration, it can be treated as white noise.
For a white noise, N (T) represents the voltage of the signal, and its power spectral density is a constant N by definition of white noise within a sufficiently long finite sampling time 2T 0 /2, the frequency spectrum X can be obtained T (ω)：
Figure BDA0003263512590000074
Is a constant, and the spectrum of the white noise is reversely deduced through the power spectrum density of the white noise, thereby proving that the spectrum of the white noise is a real continuous spectrum.
Power spectral density after filtering by filter of
G x (ω)＝1/2N 0 f 1 <ω<f 2
Since the continuous spectrum random signal is a continuous signal in frequency, the power of the signal is equal to
Figure BDA0003263512590000081
B＝f 2 -f 1
As can be seen from the above equation, when the transmission power P is constant, the wider the bandwidth B, the lower the power spectral density 1/2N0 of the signal is, and when the signal bandwidth is 1GHz, the power spectral density of the signal will decrease by 109 times, i.e., -90dB, compared with the discrete spectrum communication of a single spectrum. Such a low power spectral density completely hides the signal in the ambient noise with a signal-to-noise ratio below 1, as shown in fig. 3.
The embodiment of the invention provides that the white noise is represented as a two-dimensional stationary random process which represents the power of the signal on a determined frequency for each determined moment. The two-dimensional random signal also has ergodicity in frequency f, so if the statistical average value of f of the two-dimensional signal n (f, t) is equivalent to the dimension reduction of the signal, and becomes a product of a constant m and n (t):
Figure BDA0003263512590000082
the above equation represents the signal power corresponding to each time instant. Through the analysis, the theoretical analysis and feasibility that the low-power spectral density transmission is realized by adopting the noise random signal carrier and the received signal-to-noise ratio is lower than 1 are proved, namely, the frequency spectrum of the random noise signal is a continuous frequency spectrum covering the whole bandwidth at any time, and the continuous frequency spectrum radio-frequency signal of the ultra-low power spectrum can be obtained by modulating information on the continuous frequency spectrum carrier, as shown in fig. 4.
In step S2, the wideband noise is amplified by the operational amplifier, and the amplified wideband noise is modulated by the information source, so as to obtain a signal with information.
Specifically, as shown in fig. 5, a noise source at the transmitting end generates white noise, the white noise is converted into broadband noise n (f, t) within a certain required frequency band after passing through a band-pass filter, the broadband noise is modulated by a signal a (t) generated by an information source, and the broadband noise is amplified to be converted into a signal a (t) n (f, t) with information, so that the power spectral density of the output signal a (t) n (f, t) is extremely low, and the signal a (t) n (f, t) is hidden in surrounding environmental noise.
Next, the signal processing part of the receiver in the prior art performs digital signal processing after digital sampling, but because the continuous spectrum noise carrier communication technology provided in the embodiment of the present invention has a very low power spectral density of a signal, which is much lower than the environmental noise, and the signal is very weak, and a small error in the sampling a/D conversion process also damages the signal and causes it to be unable to demodulate, the ultra-high sensitivity receiver provided in the embodiment of the present invention directly processes the analog signal after the detector, so as to improve the resolution capability of the signal, that is, a way of greatly improving the sensitivity of the receiver is designed, which is specifically as follows:
in step S3, the signal with information is processed by a detector to obtain an initial voltage signal, where the initial voltage signal includes signal frequency integral, environmental noise, and thermal noise of the receiver.
For example, according to the theoretical analysis described above, the passage of the receiver portion signal through the detector is equivalent to integrating over frequency, from f for one frequency 1 To f 2 The band-limited signal A (t) n (f, t) of (A, t) is integrated on the frequency, and the white noise is also a stable random process on the frequency and has ergodicity, the wider the bandwidth is, the closer the frequency integration result is to the statistical mean (mathematical expectation) multiplied by the bandwidth, and can be approximated to be oneConstant m, so the initial voltage signal output by the detector is:
Figure BDA0003263512590000091
after the signal is detected, a voltage signal v is output n1 (t) recovering the measured quantity by subsequent processing of the voltage signal.
In step S4, a multi-stage cascade circuit of a subtractor and an operational amplifier is used to cancel noise in the initial voltage signal, and a final voltage signal is obtained and output.
In particular, in practice the detector output portion not only integrates the signal frequency, but also includes the ambient noise N T0 And the thermal noise N of the receiver system T1 The two-part noise is also white, so the output through the detector is also approximated as the statistical mean (mathematical expectation) over its frequency multiplied by the bandwidth, expressed as a constant m T0 ，m T1 . The final detector output can be expressed as:
v n2 (t)＝mA(t)+m T0 +m T1
wherein v is n2 (t) is the final voltage signal, A (t) is the modulation signal, m is a constant that approximates the statistical mean multiplied by the bandwidth, m is T0 As ambient noise, m T1 Is the thermal noise of the receiver.
The receiver of the embodiment of the invention adopts a multi-stage cascade circuit of the subtracter and the operational amplifier to process the signal frequency integral, the environmental noise and the thermal noise of the receiver behind the detector, thereby improving the dynamic range of the analog signal, namely the variation of the output voltage signal of the detector to cancel the noise, directly improving the resolution capability of the system to the signal, and reducing the noise of the system by m T0 ，m T1 And (3) canceling and highlighting the signal to be detected, so that the sensitivity of the receiver is improved, as shown in fig. 6, the voltage signal output by the detector is the input signal of a subsequent circuit, and the signal is output after passing through the multistage subtracter and the operational amplifier in sequence.
As shown in fig. 7, the working principle of the method for improving the sensitivity of the sensor according to the embodiment of the present invention is as follows: the signal is output as a voltage signal through the detector, the voltage signal is input into a cascade circuit of a subtracter and an operational amplifier as an input signal, and the specific numerical value of the measured quantity can be obtained through analog-to-digital conversion and computer program processing of the finally obtained signal. Due to the fact that the cascade circuit of the subtracter and the operational amplifier is added, the sensitivity of the receiver can be greatly improved.
In summary, the continuous spectrum random signal carrier communication method provided by the embodiment of the present invention fully utilizes spectrum resources by means of continuous spectrum carrier modulation, and implements a communication system with ultra-low power spectral density, wherein the power spectral density of the communication system is lower than that of bottom noise, and the ultra-low power spectral density greatly enhances signal concealment, so that the difficulty of discovering communication of our party and the difficulty of acquiring communication frequency band of our party are greatly increased by the enemy;
meanwhile, because of the ultra-low power spectral density, the ultra-low power spectral density system of the continuous frequency spectrum is utilized to carry out radio frequency transmission, the environmental noise amplitude is slightly increased in a channel, and no interference is generated on the communication system of the existing system, so that the selectable frequency spectrum resources are abundant, the new system of the ultra-high sensitivity receiver can improve the transmission distance of communication while realizing the signal receiving and identifying of which the signal-to-noise ratio is far less than 1, and the continuous frequency spectrum communication technology can become an important supplement in the existing wireless communication technology on the basis of not changing the existing communication system.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless explicitly specified otherwise.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.

Claims (4)

1. A continuous spectrum random signal carrier communication method, comprising the steps of:
the method comprises the following steps that S1, a white noise source generates white noise, a band-pass filter is adopted to convert the white noise into broadband noise in a preset frequency band, and the power spectral density of the white noise reversely deduces that the frequency spectrum is a continuous frequency spectrum through the thought of statistical radio theory and time-frequency analysis;
s2, amplifying the broadband noise by using an operational amplifier, and modulating the amplified broadband noise by using an information source to obtain a signal with information;
s3, processing the signal with the information through a detector to obtain an initial voltage signal;
and S4, canceling the noise in the initial voltage signal by adopting a multistage cascade circuit of a subtracter and an operational amplifier to obtain and output a final voltage signal, wherein the multistage cascade circuit of the subtracter and the operational amplifier is adopted to process signal frequency integration, environmental noise and thermal noise of a receiver, and the environmental noise and the thermal noise of the receiver are canceled to obtain the final voltage signal.
2. The continuous spectrum random signal carrier communication method of claim 1, wherein the initial voltage signal comprises signal frequency integration, ambient noise, and thermal noise of a receiver.
3. The continuous spectrum random signal carrier communication method of claim 1, wherein the initial voltage signal is:
Figure FDA0003949059470000011
wherein v is n1 (t) is the initial voltage signal, A (t) n (f, t) is the frequency from f 1 To f 2 A (t) is the modulation signal, and m is a constant that approximates the statistical mean multiplied by the bandwidth.
4. The continuous spectrum random signal carrier communication method of claim 1, wherein the final voltage signal is:
v n2 (t)＝mA(t)+m T0 +m T1
wherein v is n2 (t) is the final voltage signal, A (t) is the modulation signal, m is a constant that approximates the statistical mean multiplied by the bandwidth, m is T0 Being ambient noise, m T1 Is the thermal noise of the receiver.
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