Engineering Realization Method of Sidelobe Suppression of Phase Encoded Signal
A phase-encoded signal, sidelobe suppression technology, applied in radio wave measurement systems, instruments, etc., can solve problems such as how to achieve without radar, unsuitable matching filter algorithm, and inconsistency.
Active Publication Date: 2019-12-17
LEIHUA ELECTRONICS TECH RES INST AVIATION IND OF CHINA
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Problems solved by technology
The sidelobe suppression filter is essentially a mismatch filter, and the length of the filter coefficients is inconsistent with the length of the encoded signal, which makes the matched filtering algorithm widely used in the original chirp signal unable to be applied.
[0003] Wanfang and VIP databases have published some algorithms for designing sidelobe suppression filters for phase-encoded signals, but there are no articles on how to implement radar
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[0030] step 1
[0031] Sampling and processing the original echo data to form a discrete echo vector S(n), the length of S(n) is L, and the sampling length corresponding to the pulse width of the radar emission signal is M;
[0032] step 2
[0033] Determine the number of segmented pulse pressures according to the processing chip capability, here it is assumed to be P times of processing, and the number of pulse pressure processing points for each time is N;
[0034] step 3
[0035] Extract the data from points 1 to N of S(n) to get a new data vector X 1 (n); N-point discrete Fourier transform is performed on S(n) to obtain S(w), the length of the sidelobe suppression filter is K*M, and K is a multiple, and N-point discrete Fourier transform is performed to obtain H(w ), multiply S(w) and H(w) point-to-point and then perform N-point discrete Fourier inverse transform to get the vector Y 1 (n);
[0036] step 4
[0037] Define the output vector as O(n), O(n) 1 to (K-1)*M / 2...
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The invention provides an engineering realizing method for phase-coded signal sidelobe suppression. The method comprises the following steps: the step 1, executing the sampling processing to original echo data, forming a disperse echo input vector S(n), wherein the length of the S(n) is L, and the sampling length corresponding to the radar transmit signal pulse width is M; the step 2, according to the processing chip capacity, determining the frequency of subsection pulse pressure, wherein the frequency is assumed as P times; the point number of each time of the pulse pressure processing is N, extracting the data of the S(n) from 1 to N to obtain a new data vector X1(n); and the step 3, executing N-point discrete Fourier transform to S(n), to obtain S(w), wherein the length of a sidelobe suppression filter is KXM, and K is multiple, and executing the N-point discrete Fourier transform to obtain H(w), executing the point-to-point multiplication to S(w) and H(w), and executing the N-point discrete Fourier transform to obtain a vector Y1(n).
Description
technical field [0001] The invention belongs to the field of airborne radar and relates to the realization of a pulse compression algorithm of a phase coded signal in radar signal processing. Background technique [0002] Phase-encoded signals have good anti-interference performance, high time delay and Doppler resolution, and no range-Doppler coupling, so they are widely used in radar waveform design. However, due to the correlation between phase-encoded codewords Due to the unsatisfactory characteristics and the influence of Doppler frequency in the echo, the phase-encoded signal produces a high range side lobe, which has a great impact on the detection of small target signals. Therefore, it is necessary to suppress the side lobe of the phase-encoded signal. The sidelobe suppression filter is essentially a mismatch filter, and the length of the filter coefficients is inconsistent with the length of the coded signal, which makes the matched filtering algorithm widely used ...
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IPC IPC(8): G01S7/36
CPCG01S7/36
Inventor 季亚新胡新梅叶峰
Owner LEIHUA ELECTRONICS TECH RES INST AVIATION IND OF CHINA