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Clutter Suppression Method Based on Sparse Representation

A sparse representation and clutter suppression technology, which is applied in the field of signal processing, can solve problems such as deviation of clutter spectrum center estimation results and complex calculations, and achieve the effects of improved clutter suppression effect, simple solution model, and reduced computational complexity

Active Publication Date: 2020-04-14
XIDIAN UNIV
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Problems solved by technology

[0007] Adaptive moving target display needs to adaptively estimate the center of the clutter spectrum, and then move the notch of the filter to the center of the clutter spectrum to achieve the purpose of eliminating the moving clutter. Although this method can suppress the moving clutter, the estimation of the center of the clutter spectrum Results can be biased and computationally complex

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  • Clutter Suppression Method Based on Sparse Representation
  • Clutter Suppression Method Based on Sparse Representation
  • Clutter Suppression Method Based on Sparse Representation

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Embodiment Construction

[0037] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0038] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0039] Step 1. Generate a chirp signal.

[0040] Set the pulse width to T p , the modulation frequency is μ, the frequency modulation bandwidth is B and the carrier frequency is f 0 , forming a chirp signal rect(·) represents a rectangular signal, t represents a fast time, and j represents an imaginary unit.

[0041] Step 2. Generate clutter data C with logarithmic distribution u .

[0042] Generate clutter data C with a logarithmic distribution u The existing method comprises: zero-memory nonlinear transformation method ZMNL and spherical invariant random process method SIPR, the present invention adopts zero-memory nonlinear transformation method ZMNL, and its steps are as follows:

[0043] (2a) Pass the independent and uncorrelated Gaussian rand...

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Abstract

The invention discloses a clutter inhibition method based on sparse representation. The objective of the invention is to solve the problem of high calculation complexity in the prior art. The method comprises steps of 1), generating a linear frequency modulation signal; 2), generating clutter data with logarithm distribution; 3), constructing an echo signal through the generated linear frequency modulation signal and the clutter data; 4), filtering the constructed echo signal; 5), carrying out matching filtering on the filtered output data; 6), carrying out sparse constraint on the data subjected to the matching filtering and establishing a sparse condition constraint model; and 7), solving the established sparse condition constraint model by use of an alternative iteration method, and outputting an optimal weighting factor of the filter and the echo data after the clutter inhibition. According to the invention, by adding the sparse constraint, estimation of a central spectrum of the clutter is not required; the method is advantaged by simple calculation and low operation complexity; and the method can be used for target detection of radar echo signals.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and further relates to a method for suppressing clutter, which can be used for target detection of radar echo signals. Background technique [0002] For the clutter suppression technology, there are many mature ones at home and abroad, and different measures can be taken on the transmitter, antenna, receiver and signal processor to suppress the clutter. The clutter suppression methods related to signal processing mainly include moving target display MTI, moving target detection MTD, etc. These clutter suppression technologies use the difference between moving target echo and clutter in the frequency spectrum to effectively suppress clutter wave, to extract the target signal. in: [0003] The moving target display MTI uses multiple echoes to eliminate clutter. The frequency response of the filter formed by this method is periodic, and the zero point is located at an integer multiple of...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/36
CPCG01S7/36
Inventor 赵光辉李丽萍姜艳娜石光明
Owner XIDIAN UNIV
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