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ESPRIT algorithm based short-range clutter suppression method for airborne radar

An airborne radar and short-range clutter technology, applied in the field of radar, can solve the problem of distance non-stationarity being difficult to be suppressed, and achieve the effect of overcoming the decline of clutter suppression performance, the small amount of calculation, and the enhancement of stability.

Active Publication Date: 2015-04-08
XIDIAN UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The object of the present invention is to propose a method for suppressing airborne radar short-range clutter based on the ESPRIT algorithm to enhance the clutter The stability of waves and the accuracy of covariance matrix estimation can improve the signal-to-noise ratio and the detection probability of moving targets

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  • ESPRIT algorithm based short-range clutter suppression method for airborne radar
  • ESPRIT algorithm based short-range clutter suppression method for airborne radar
  • ESPRIT algorithm based short-range clutter suppression method for airborne radar

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Embodiment Construction

[0034] Control attached figure 1 , the specific implementation steps of the present invention are as follows:

[0035] Step 1: Simulate the 4D clutter data of the airborne radar forward-looking array according to the Ward clutter model X N×M×P×L , where N is the number of array elements in the pitch direction, M is the number of array elements in the azimuth direction, P is the number of pulses, and L is the number of range gates. The parameters N and M depend on the requirements of the degree of freedom of the radar system, P, The size of L is selected to meet the requirements of Brennan's criterion.

[0036] Step 2, use the rotation invariant subspace algorithm, ESPRIT algorithm, to sequentially analyze the four-dimensional clutter data X of the forward-looking array antenna N×M×P×L For each range gate in the pitch direction, DOA estimation is performed to obtain the antenna array manifold matrix A(θ),θ∈[0,90°]:

[0037] (2.1) Take the 4D clutter data X of the forward-loo...

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Abstract

The invention discloses an ESPRIT algorithm based short-range clutter suppression method for airborne radar and mainly aims at solving the problem that the clutter suppression performance of the STAP processing for non-side looking arrays of the airborne radar is reduced due to the short-range clutter. The method comprises the steps of (1), calculating a pitch covariance array by using pitch snapshot vectors corresponding to different direction array elements and different pulses of non-side looking clutter data; (2), performing characteristic decomposition on the pitch covariance array and separating characteristic vector arrays corresponding to signal subspaces; (3), solving guide vectors corresponding to the short-range and long-range clutter of the characteristic vector arrays by using the least square method; (4), restraining pitch self0adaptive weights through the short-range and long-range guide vectors and performing pitch filtering processing; (5), performing STAP processing on the clutter data after filtering processing. According to the short-range clutter suppression method, short-range clutter can be suppressed effectively, the space-time self-adaptive processing performance is improved, and the method is applicable to suppression of the non-side looking array short-range clutter for the airborne radar.

Description

technical field [0001] The invention belongs to the technical field of radar, and in particular relates to a short-range clutter suppression method for airborne radar, which can be used to estimate the DOA of the antenna front and suppress the short-range clutter in combination with the degree of freedom of the pitch direction of the front, and improve the STAP processing for non- Suppression performance of short-range clutter in frontal and side-looking arrays. Background technique [0002] Airborne early warning radar is favored by more and more countries for its fast and flexible mobile early warning capabilities. Its core task is to quickly detect and track interested targets in the background environment where clutter and interference exist. Airborne side-view array clutter presents a space-time two-dimensional coupling characteristic, and the clutter spectrum is distributed along an oblique line at this time. That is, the cone angle cosine of the clutter and the Doppl...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/36
Inventor 王彤陈云飞同亚龙吴建新
Owner XIDIAN UNIV
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