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Detection method of interference target for space-time adaptive processing

A space-time self-adaptive and jamming target technology, applied to radio wave measurement systems, instruments, etc., can solve the problem that the performance of non-uniform training samples in NHD is affected by jamming targets

Inactive Publication Date: 2013-01-16
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

[0004] The invention proposes an interference target detection method for space-time adaptive processing in a non-uniform clutter environment, which solves the problem that the performance of the traditional non-uniform detector NHD to reject non-uniform training samples is affected by the interference target, thereby improving the non-uniform clutter Object Detection Performance of STAP Algorithm in Environment

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  • Detection method of interference target for space-time adaptive processing
  • Detection method of interference target for space-time adaptive processing
  • Detection method of interference target for space-time adaptive processing

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Embodiment Construction

[0065] The implementation of the method of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0066] A jamming target detection method for STAP processing in a non-uniform clutter environment, according to figure 2 As shown in the flow chart, the process of this method is as follows:

[0067] Step 1. Estimation of clutter covariance matrix based on elliptical prolate spherical wave function

[0068] ① Receive space-time clutter data model

[0069] according to figure 1 The geometric structure of the airborne phased array radar shown assumes that the number of radar antenna array elements is N, the number of transmitted pulses is M, and the array element spacing is d. The flight speed of the carrier aircraft is v, and the altitude is h. The pulse repetition frequency (PRF) is f r ,T r =1 / f r is the pulse repetition time. If the slope distance is R c The clutter range ring at the azimuth angle θ is divided into N c...

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Abstract

The invention provides a detection method of an interference target for space-time adaptive processing, which solves the problem that the performance is influenced by the interference target when the traditional non-uniform detector NHD (nonhmogeneity detection) is used for removing non-uniform training samples. The detection method comprises the steps as follows: step I, estimation of a clutter covariance matrix based on an elliptical long ball wave function: firstly receiving a space-time clutter data model, then determining the relationship of the elliptical long ball wave function and clutter data, and finally estimating the clutter covariance matrix based on the elliptical long ball wave function; step II, calculating the detection statistic of the interference target of GIP (generalized inner products); and step III, removing the non-uniform training samples influenced by the interference target according to a set threshold value.

Description

technical field [0001] The invention belongs to the technical field of airborne phased array radar clutter suppression, and relates to an interference target detection method in space-time adaptive processing in a non-uniform clutter environment. Background technique [0002] The airborne phased array radar can realize the effective detection of ground moving targets, but the airborne phased array radar in the looking-down working state will face more serious ground / sea clutter problems than the ground-based radar. The ground / sea clutter not only has a wide distribution and high intensity, but also exhibits strong space-time coupling characteristics. Space-Time Adaptive Processing (STAP) technology can make full use of space and time domain information, while coherently accumulating target signals, it combines the advantages of adaptive space-domain processing and adaptive Doppler processing, and combines the advantages of space-time domain Adaptive filtering of clutter can...

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Application Information

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IPC IPC(8): G01S7/36
Inventor 杨小鹏刘永旭龙腾曾涛
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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