A Fast Recognition Method of Chirp Signal Based on Multi-channel Preset Convolver
An identification method and convolver technology, applied in instruments, radio wave measurement systems, etc., can solve the problems of large amount of calculation, poor real-time performance, low signal-to-noise ratio, etc. small amount of effect
Active Publication Date: 2020-10-16
THE 724TH RES INST OF CHINA SHIPBUILDING IND
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Such as Wigner Hough Transform (WHT), combining Hough Transform with Wigner-Ville Distribution (Wigner-Ville Distribution, WVD), Radon-Ambiguity Transform (RAT) method, Radon —STFT transform, Radon-wavelet transform, etc., but the time-frequency analysis method has a large amount of calculation, and the performance is not good when the signal-to-noise ratio is low
[0003] The existing linear frequency modulation signal analysis methods all use the posterior identification method of estimating signal frequency and frequency modulation slope, and then comparing with the existing parameters in the database. Therefore, it has the disadvantages of large amount of calculation, high requirement of signal-to-noise ratio, and poor real-time performance.
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[0008] Firstly, the calculation method of the main lobe energy proportion of the correlation convolution result of the chirp signal is given:
[0009]
[0010] In the formula, the signal bandwidth is B, the pulse width is T, and the peak position is t d , the main lobe width is 1 / B, fm(t) is the correlation convolution result, the numerator part on the right side of the equation is the main lobe energy, the denominator part is the total energy, and P is the ratio of the main lobe energy to the total energy.
[0011] Concrete implementation steps of the present invention are as follows:
[0012] a. The signal to be identified is pre-screened according to the frequency and pulse width information of the signal pulse, and the signal with the frequency and pulse width similar to the multi-channel preset convolver is screened out.
[0013] b. According to the known FM slope, frequency, and pulse width parameters, the conjugate signal is generated as the preset convolver signal,...
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The invention is applied to the field of intra-pulse analysis and recognition of radar signals. A linear frequency modulation signal is quickly identified through a multi-channel preset convolver. First, pulses in accordance with the frequency and pulse width parameter ranges of prior information are screened. A conjugate signal is generated as a preset convolver from frequency modulation slope, pulse width and frequency information, and the ratio of the mainlobe energy value of the preset convolver signal after autocorrelation to the total energy is calculated. The preset convolver signal anda signal to be identified are convolved, the peak position is detected, and the ratio of the mainlobe energy to the total energy and a first-level confidence parameter are calculated. A signal to beidentified exceeding the first-level confidence parameter threshold is auto-correlated, and the ratio of the mainlobe energy to the total energy and a second-level confidence parameter are calculated.Finally, the confidence degree of signal identification is calculated according to the first two levels of confidence parameters. The algorithm has the advantages of small amount of computation, quick identification, simple process, convenient engineering implementation, and low signal-to-noise ratio requirement.
Description
technical field [0001] The invention is applied to the field of intrapulse analysis and identification of radar signals. Background technique [0002] The intra-pulse modulation characteristics of radar signals are an important part of radar parameters. Common radar intra-pulse modulation forms include conventional, two-phase encoding, four-phase encoding, linear frequency modulation, frequency encoding and other modulation forms. The linear frequency modulation signal adopts pulse compression technology, which can obtain high range resolution, and has excellent anti-Doppler mismatch ability compared with phase-coded signal, and is widely used in radar signals. The estimation methods of chirp signal parameters mainly include maximum likelihood estimation method, dechirp method, discrete polynomial phase parameter estimation method, discrete linear Fourier transform method and various time-frequency distribution analysis methods, etc. Maximum Likelihood Estimation (Maximum L...
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IPC IPC(8): G01S7/02G01S7/28G01S7/40
Inventor 王谦诚翟晓宇秦坤
Owner THE 724TH RES INST OF CHINA SHIPBUILDING IND