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Immediate data field moving target detection method based on dimensionality reduction sparse reconstructed space-time spectrum

A moving target detection and sparse reconstruction technology, which is applied in radio wave measurement systems, instruments, etc., can solve the problem that the STAP algorithm performance cannot be processed in real time, and achieve the effect of moving target detection and clutter suppression.

Inactive Publication Date: 2013-12-18
HOHAI UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to address the defects of the prior art, overcome the impact of various non-uniform phenomena on the performance of the STAP algorithm and the difficult problem that the STAP algorithm has a large amount of calculation and cannot be processed in real time, and proposes a space-time spectrum based on dimensionality reduction and sparse reconstruction. Efficient direct data domain moving target detection method

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  • Immediate data field moving target detection method based on dimensionality reduction sparse reconstructed space-time spectrum
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  • Immediate data field moving target detection method based on dimensionality reduction sparse reconstructed space-time spectrum

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Embodiment Construction

[0058] The invention will be described in further detail below in conjunction with the accompanying drawings.

[0059] Airborne radar geometry such as figure 1 shown. Assume that the antenna is a uniform linear array with a half-wavelength spacing between array elements. Considering the non-frontal side-view array, the carrier plane flies along the X-axis at the speed V, the yaw angle is ψ, and the flight height is H. The number of antenna array elements is N, and the number of time-domain pulses in a coherent processing interval is K, then the received noise signal corresponding to the lth distance unit is:

[0060] X l = Σ i = 1 N c σ i S i + N l - - - ...

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Abstract

The invention discloses an immediate data field moving target detection method based on a dimensionality reduction sparse reconstructed space-time spectrum. The method includes the steps of firstly, converting space-time sampling data of a sample to be detected into an array element-Doppler domain through time domain FFT; then, estimating a high-resolution two-dimensional angle-Doppler spectrum through the space sparse reconstruction technology in each Doppler unit; finally, achieving clutter rejection and moving target detection in an image domain with the help of priori knowledge. According to the method, earth and sea clutters can be effectively rejected so that the detection of a slow moving target can be achieved, and the method is little in calculation and beneficial to project implementation.

Description

technical field [0001] The invention relates to an airborne radar clutter suppression technology, and studies an efficient space-time adaptive processing (STAP) method for target detection by directly using detection sample data based on signal sparse reconstruction technology. Background technique [0002] Airborne radar looks down, and ground clutter has a wide spectrum and high intensity. Therefore, effective suppression of clutter is an important means to improve the detection performance of airborne radar. Space-time adaptive processing (STAP) jointly designs an adaptive filter in a two-dimensional plane, which can effectively suppress clutter and active interference, and is the core technology of the new generation of early warning aircraft radar. However, as a statistical adaptive processing algorithm, STAP can fully exert its performance only when the clutter satisfies the independent and identical distribution (IID) condition. [0003] The actual working environmen...

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Application Information

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IPC IPC(8): G01S7/41
Inventor 沈明威王杰
Owner HOHAI UNIV
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