Method for wireless communication high-precision signal identification and baud rate parameter estimation

A technology of parameter estimation and signal recognition, which is applied in modulation type recognition, digital transmission system, modulated carrier system, etc. It can solve the problems of unsatisfactory recognition rate, influence of eigenvalue accuracy, and high computational complexity, so as to avoid over-learning and partial Convergence, ensuring the safety of citizens' property, and resisting the effect of Gaussian white noise

Inactive Publication Date: 2017-11-17
FOSHAN UNIVERSITY
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AI Technical Summary

Problems solved by technology

Based on the conventional SVM classifier method, there is high computational complexity when identifying multiple types of problems, which affects the efficiency of identification and parameter estimation; based on the high-order cumulant method, the recognition rate is not ideal when the signal-to-noise ratio of the received signal is low; The simple combination of cumulant and SVM classifier and high-order cumulant has improved compared with the previous two methods, but the recognition rate is still not high
[0004] Specifically, when the eigenvalues ​​of the received signals are directly extracted through the above prior art, the accuracy of the extracted eigenvalues ​​is affected due to the interference of Gaussian white noise. Gaussian white noise of order 1 has zero cumulative value, so it is easily affected by
[0005] At the same time, the neural network is a commonly used recognition classifier in signal recognition, but it has the disadvantages of over-learning and local convergence in learning and training.

Method used

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  • Method for wireless communication high-precision signal identification and baud rate parameter estimation
  • Method for wireless communication high-precision signal identification and baud rate parameter estimation
  • Method for wireless communication high-precision signal identification and baud rate parameter estimation

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Embodiment 1

[0077] Such as figure 1 As shown, the method for high-precision signal identification and baud rate parameter estimation for wireless communication according to the present invention has specific steps as follows:

[0078] S1: Perform high-order cumulant processing on the signal to be measured, and extract the characteristic parameters of the signal to be measured;

[0079] High-order cumulants have good anti-noise performance and are widely used in signal processing. In general, the transmission signal and Gaussian noise in the channel are independent of each other, and the cumulative amount of Gaussian noise higher than the second order is zero. Therefore, converting the received signal into a high-order cumulant for processing can eliminate Gaussian noise (8-9).

[0080] Assuming that we are in a continuous and synchronized environment, and the time and carrier synchronization and waveform recovery have been completed, then a complex baseband sequence of the signal to be measured...

Embodiment 2

[0135] Such as Figure 5 As shown, this embodiment is different from Embodiment 1 only in that after the step of extracting characteristic parameters of the signal, the following steps are further included:

[0136] S2’: Perform clustering optimization processing on the characteristic parameters:

[0137] S21’: Set the iteration criterion ε=10 -5 , Initialize the feature parameter classification matrix V (0) ;

[0138] S22’: Calculate feature parameters and update membership matrix U (k) :

[0139] S23’: Calculate the characteristic parameter clustering center matrix V (k+1) :

[0140] S24’: Compare V with the norm of the characteristic parameter matrix (k+1) With V (k) , If ||V (k+1) -V (k) ||≤ε;

[0141] Then the iteration stops, and the characteristic parameters after clustering optimization are obtained. Otherwise, let K=K+1, and go to step S22'.

[0142] Through the processing of this step, the required iteration time can be minimized under the condition of setting the recognition ...

Embodiment 3

[0144] Such as Image 6 As shown, this embodiment is different from Embodiment 1 only in that: in step S4, the spectral resolution is increased, specifically as follows:

[0145] S41': Sampling the signal to obtain the digital sequence X(n);

[0146] S42': According to the set spectral resolution, divide the digital sequence X(n) into corresponding subband signals x N (n);

[0147] S43': For the subband signal x N (n) Obtained by Hilbert transform Hilbert Calculate the envelope square of the subband signal

[0148] S44’: For the envelope square e x (n) Perform Fourier transform and search for its peak in the frequency domain, and set the frequency corresponding to the peak as f d1 ;

[0149] S45’: In [f d1 -f s / N,f d1 +f s / N] to the envelope square e x (n) Perform chirp Z transformation CZT transformation, then search for its peak value, and set the frequency corresponding to the peak value as f d2 ;

[0150] S46’: Search for the second peak value in the result of chirp Z transform C...

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Abstract

The invention discloses a method for wireless communication high-precision signal identification and baud rate parameter estimation. The method includes the steps of identification and baud rate parameter estimation. The step of identification is specifically composed of subjecting a signal to be tested to high-order cumulant processing, and extracting characteristic parameters of the signal to be tested; optimizing a support vector machine (SVM) center carrier frequency identification algorithm program; and optimizing and then inputting the characteristic parameters into the SVM for modulation classification and identification training. The step of baud rate parameter estimation specifically includes: performing baud rate parameter estimation on the signal to be tested in the step of identification by using a signal complex envelope square spectral characteristic parameter. The method for wireless communication high-precision signal identification and baud rate parameter estimation according to the invention has the characteristics of having better effects in identification of wireless communication signals and estimation of baud rate parameters.

Description

Technical field [0001] The invention belongs to the technical field of wireless communication signal recognition, and specifically relates to a method for wireless communication high-precision signal recognition and baud rate parameter estimation. Background technique [0002] The modulation recognition and parameter estimation of wireless communication signals have a wide range of applications in military and civilian fields such as signal monitoring, signal interference, signal query, and signal identification. Especially in the current field of civil radio management, with the increasing number of illegally released information (especially a lot of deceptive information) by various pseudo base stations, criminals use signal modulation methods and baud rate parameters and other technologies to continuously update, relying on the current Conventional radio management monitoring and identification devices have poor monitoring and identification effects, which poses serious challe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L27/00
CPCH04L27/0012
Inventor 杨发权张春生杨凌
Owner FOSHAN UNIVERSITY
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