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Sea surface micro-motion target detection and characteristic extraction method based on morphological component analysis

A technology of morphological component analysis and micro-moving targets, applied to radio wave measurement systems, instruments, etc., can solve problems such as estimation performance limitations, and achieve the effect of improving signal-to-clutter ratio and suppressing sea clutter

Active Publication Date: 2013-02-06
NAVAL AVIATION UNIV
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Problems solved by technology

[0004] Signal time-frequency processing methods (such as short-time Fourier transform, wavelet transform, Winger-Ville transform, fractional Fourier transform, etc.) have incomparable advantages as fretting feature analysis tools, but the estimation performance is limited by the time-frequency resolution

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  • Sea surface micro-motion target detection and characteristic extraction method based on morphological component analysis

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Embodiment Construction

[0027] The following is attached with the manual figure 1 The present invention is described in further detail. Refer to the attached figure 1 , the processing flow of the present invention is divided into the following steps:

[0028] (1) Sparse representation of sea clutter;

[0029] (2) Sea clutter sparse domain suppression;

[0030] (3) The echo signal of the micro-moving target is sparsely represented;

[0031] (4) Micro-motion target signal sparse field detection;

[0032] (5) Estimation of fretting characteristic parameters.

[0033] The following is attached with the manual figure 2 The present invention is described in further detail. Refer to the attached figure 2 , the specific embodiment of the present invention divides the following steps:

[0034] (1) Send the radar echo in the same distance unit obtained after amplification and demodulation to the storage device 1 for preprocessing, and obtain the input signal sequence x(i) of N sampling points, i=1, ...

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Abstract

The invention relates to a sea surface micro-motion target detection and characteristic extraction method based on morphological component analysis, which belongs to the technical field of radar signal treatment and detection. The method disclosed by the invention comprises the following steps: 1) sea clutter sparse representation; 2) sea clutter sparse domain inhibition; 3) the sparse representation of a micro-motion target echo signal; 4) micro-motion target signal sparse domain detection; and 5) micro-motion characteristic parameter estimation. Compared with the traditional sea surface target detection method, the sea surface micro-motion target detection and characteristic extraction method disclosed by the invention is characterized in that the morphological difference between the sea clutter and a micro-motion target echo signal composition is fully utilized, different source signals are subjected to sparse representation by different dictionaries, and the sea surface micro-motion target detection and characteristic extraction method has the capability on distinguishing the sea clutter and the micro-motion target, more signal energy is accumulated while the sea clutter is inhibited, and the signal to clutter ratio is improved. The sea surface micro-motion target detection and characteristic extraction method also has the capability on detecting the micro-motion target and estimating the micro-motion characteristic parameter in the strong sea clutter, provides a new path for sea surface weak target detection and characteristic extraction, and has a popularization and application value.

Description

1. Technical field [0001] The invention belongs to the technical field of radar signal processing and detection, in particular to the moving target detection technology of sea detection radar. 2. Background technology [0002] The detection technology of weak targets in sea clutter, especially "low (low grazing angle), slow (stationary or slow moving), small (small target size)" targets has always been a difficult problem in the field of radar signal processing, not only of theoretical importance It plays a very important role in both military and civilian use, such as the detection of sea surface targets in the safe navigation of ships, ice floes avoidance, and monitoring of the marine environment. The common feature of weak targets in sea clutter is that due to factors such as low radar resolution, long distance, and strong background, the signal-to-noise (SNR) ratio in the target resolution unit is very low no matter in the time domain or in the frequency domain. The clu...

Claims

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Application Information

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IPC IPC(8): G01S7/41
Inventor 陈小龙关键柴勇王国庆宋杰黄勇蔡复青何友
Owner NAVAL AVIATION UNIV
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