Airborne radar space time self-adaptation processing method with sparse representation

A space-time adaptive, airborne radar technology, applied in electrical digital data processing, special data processing applications, utilization of re-radiation, etc. Effects of suppressing performance and convergence speed

Inactive Publication Date: 2014-12-24
XIDIAN UNIV
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Problems solved by technology

However, in practice, due to the existence of noise and over-sparse representation, the estimated clutter is generally more discrete, and there are many false peaks, so multiple frames of samples are required to estimate the clutter covariance matrix
Although the false peak removal method based on statistics can improve the estimation accuracy of the clutter covariance matrix, it still needs more samples to achieve

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  • Airborne radar space time self-adaptation processing method with sparse representation
  • Airborne radar space time self-adaptation processing method with sparse representation
  • Airborne radar space time self-adaptation processing method with sparse representation

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Embodiment Construction

[0026] The present invention will be further described below in conjunction with accompanying drawing:

[0027] refer to figure 1 , is a flowchart of a space-time adaptive processing method using sparse representation in the present invention. The space-time adaptive processing method using sparse representation includes the following steps:

[0028] Step 1, the antenna array of the airborne radar is an equidistant linear array with N array elements, and the distance between the array elements is d; the airborne radar receives the echo data, and the echo data does not contain the distance of the target echo data The unit is recorded as a clutter distance unit, and the echo data vector received by the clutter distance unit is represented as x.

[0029] Evenly divide the spatial frequency-Doppler frequency plane corresponding to the clutter range unit into N s× K d grids, N s Represents the number of grids in the frequency dimension of the space domain, K d Represents the ...

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Abstract

The invention belongs to the technical field of space time self-adaptation processing and particularly relates to an airborne radar space time self-adaptation processing method with sparse representation. The method comprises the steps that (1) the sparsity of the clutter spectrum is used, and a high-resolution estimation method based on sparse representation is used for estimating the clutter spectrum power spectrum; (2) a clutter wave crest curve fitting method based on an RANSAC method is used for removing fake peaks in the clutter spectrum obtained based on sparse representation; and (3) the clutter wave power spectrum with the fake peaks removed is used for estimating a clutter covariance matrix (CCM) and an aerial carrier flying parameter stably. Compared with a traditional STAP algorithm, the method has good clutter rejection performance under a small sample condition, and convergence speed is obviously improved.

Description

technical field [0001] The invention belongs to the technical field of space-time adaptive processing, and in particular relates to a space-time adaptive processing method of airborne radar using sparse representation. Specifically, it uses the sparsity of clutter spectrum distribution to estimate the clutter space-time according to the sparse representation theory. Spectrum, and the clutter ridge curve fitting method based on the Random Sample Consensus (RANSAC) algorithm is used to remove the false peaks in the clutter spectrum to improve the estimation accuracy of the clutter covariance matrix (CCM) . The invention can be used to estimate the flight parameters of the carrier aircraft (the flight speed of the carrier aircraft, the yaw angle, etc.). Background technique [0002] For airborne and spaceborne radar systems, Space-Time Adaptive Processing (STAP) is an effective means of clutter suppression, which can effectively detect weak moving targets from a large number o...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/88G06F19/00G01S7/36
CPCG01S7/2928G01S13/581G01S13/60
Inventor 冯大政赵雪玉赵永波解虎原英冯祥卫
Owner XIDIAN UNIV
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