Radar Target Parameter Estimation Method Based on AIC Compressed Information Acquisition and FBMP

A radar target and parameter estimation technology, applied in the field of signal processing, can solve the problems of inability to obtain the optimal sparse solution and high time cost

Active Publication Date: 2011-12-21
XIDIAN UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to propose a radar target parameter estimation method based on AIC compressed information acquisition and FBMP, to solve the problem that the optimal sparse solution...

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  • Radar Target Parameter Estimation Method Based on AIC Compressed Information Acquisition and FBMP
  • Radar Target Parameter Estimation Method Based on AIC Compressed Information Acquisition and FBMP
  • Radar Target Parameter Estimation Method Based on AIC Compressed Information Acquisition and FBMP

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Embodiment Construction

[0029] Refer to attached figure 1 , concrete steps of the present invention include:

[0030] Step 1, AIC compressed sampling to obtain low-dimensional measurement values.

[0031] refer to figure 2 , the specific implementation of this step is as follows:

[0032] 1a) First pass the radar echo signal x(t) through a pseudo-random sequence p c (t) modulate;

[0033] 1b) Demodulate the modulated signal through an analog low-pass filter h(t);

[0034] 1c) Sub-Nyquist compression sampling through a conventional analog-to-digital converter to obtain low-dimensional measurements: y m = ∫ - ∞ + ∞ x ( t ) p c ( t ) h ( t ′ ...

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Abstract

The invention discloses a radar target parameter estimation method based on AIC (automatic information center) compression information acquisition and FBMP (fast Bayesian matching pursuit), which mainly solves the problem that the existing compression sensing radar target parameter estimation method cannot simultaneously improve estimation precision and reduce time cost. The method comprises the implementation steps that low-dimension compression observation of radar echo signals is realized by AIC; a time shift sparse dictionary is designed on the basis of transmitted signals, so the radar echo signals can obtain sparse presentation on the time shift sparse dictionary; observation matrices needed in a compression sensing reconstruction theory are constructed according to AIC sampling sequences and the time shift sparse dictionary; sparse coefficient vectors of the radar echo signals are solved by a fast Bayesian matching pursuit FBMP algorithm so as to realize radar target parameterestimation. The invention has advantages that the number of non-zero coefficients in the sparse coefficient vectors of signals to be reconstructed is determined adaptively, the reconstruction precision can be improved when the time cost is reduced, and the method can be used for radar target recognition and radar imaging.

Description

technical field [0001] The invention belongs to the technical field of signal processing and relates to radar target parameter estimation, in particular to a radar target parameter estimation method based on AIC compressed information acquisition and FBMP, which can be used for target recognition. Background technique [0002] In modern warfare, electronic intelligence is the basis of military operations and an important basis for formulating combat plans. Accurate positioning of targets plays a vital role in the outcome of a war, so how to accurately estimate the parameters of radar signals in a complex electromagnetic environment is a research focus at home and abroad. In the traditional radar target parameter estimation process, the echo signal received by the receiver needs to be processed by pulse compression, range dimension and Doppler to realize the parameter estimation of the radar target. In the case that the transmitted signal is a broadband / ultra-wideband signal...

Claims

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Application Information

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IPC IPC(8): G01S7/41
Inventor 杨淑媛焦李成王晶谭山王爽侯彪缑水平谢冬梅万艳艳
Owner XIDIAN UNIV
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