Interference sample eliminating method based on generalized inner-product arbitrary array

A generalized inner product and arbitrary array technology, applied in the field of space-time two-dimensional adaptive processing, can solve the problems of large amount of calculation, performance degradation of interference and pollution sample selection, and degradation of STAP target detection performance, etc., and achieve the effect of small calculation amount

Inactive Publication Date: 2017-06-16
XIDIAN UNIV
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Problems solved by technology

However, this method is susceptible to the influence of training samples, and the amount of calculation is large. When there are many interference targets, it is not sensitive to the detection of interference targets. While ensuring that all interferences are detected, the detection threshold is set too low, and it is easy to eliminate a large number of uniform samples. , making the target detection performance of STAP decrease
[0005] The KASSM method assumes that the folding coefficient is an integer, and is proposed based on the characteristic that the clutter of the Uniform Linear Array (ULA) is linearly distributed, so it is not suitable for any array configuration, so the int

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  • Interference sample eliminating method based on generalized inner-product arbitrary array
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  • Interference sample eliminating method based on generalized inner-product arbitrary array

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Embodiment 1

[0028] The present invention is a method for eliminating interference samples based on generalized inner product arbitrary arrays, and can also be said to be an improved space-time two-dimensional adaptive processing method based on generalized inner product, see figure 1 , including the following steps:

[0029] Step 1, get training samples: use the radar to transmit signals and receive the corresponding radar echo data; in the received radar echo data, select multiple distance units at the left and right ends of the distance unit where the target to be detected is located, that is, in There are a total of L distance units selected at the left and right ends of the distance unit where the target to be detected is located; the echo data of the selected L distance units are used as the corresponding L training samples, and the i-th training sample is expressed as X i , i ranges from 1 to L.

[0030] Step 2, Offline composition of the low-rank approximation matrix U of the clut...

Embodiment 2

[0037] The interference sample elimination method based on the generalized inner product arbitrary array is the same as that in embodiment 1, wherein in step 2, the low-rank approximation matrix U of the clutter subspace is formed off-line r The specific steps include:

[0038] (2.1) Divide each training sample evenly into N according to the orientation c sample blocks, N c is a natural number greater than 1, and the clutter scatterer steering vector matrix V c ; These two vectors, clutter airspace steering vector and clutter time domain steering vector, are only related to system parameters such as antenna element position, beam pointing angle, and flight speed, and have nothing to do with the received training sample data. A single scatterer corresponds to two steering vectors.

[0039] The time-domain steering vector V corresponding to the i-th clutter scatterer is constructed offline t and the original airspace steering vector S s , respectively:

[0040]

[0041]...

Embodiment 3

[0059] The interference sample elimination method based on the generalized inner product arbitrary array is the same as that in Embodiment 1-2, and in step 3, the inverse matrix of the target scatterer clutter noise covariance matrix is ​​calculated offline According to the following formula:

[0060]

[0061] In the formula, [] H Represents the conjugate transpose of the matrix, and I is the identity matrix of order r.

[0062] u r is the vector matrix V of the scatterer clutter c The eigenvectors corresponding to all non-zero eigenvalues ​​of , most of the clutter signal energy has been constrained, so the low-rank approximation matrix U of the space-time steering vector matrix of clutter scatterers r It can approximate the characteristics of the real clutter subspace, and can approximate the inverse matrix of the covariance matrix without directly inverting the space-time clutter steering vector matrix The calculation amount of the present invention is greatly redu...

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Abstract

The invention provides an interference sample eliminating method based on a generalized inner-product arbitrary array, and solves the technical problem that the echo sample of an arbitrary array configurational antenna cannot be selected at present. The method comprises the following implementation steps: using a radar transmission signal, and selecting corresponding echo data as training samples; constituting the low-rank approximation matrix Ur of a clutter subspace in an off-line manner; calculating the inverse matrix of a clutter covariance matrix in the off-line manner; calculating the generalized inner-product value of each training sample; setting a detection threshold eta; carrying out elimination on disturbance samples, screening the training samples, and finally obtaining samples to be measured after the elimination of the disturbance samples so as to carry out space-time two-dimensional self-adaption processing in next step. The inverse matrix of the clutter covariance is constructed in the off-line manner, wherein the inverse matrix contains the position and beam pointing information of each array element, so that interference samples under the arbitrary array configurational antenna can be eliminated, the processing result is not influenced by the training samples, and the computational burden is low. The method is used for onboard and interspace radar space-time two-dimensional signal processing.

Description

technical field [0001] The invention belongs to the technical field of space-time two-dimensional self-adaptive processing, and in particular relates to the selection of interference pollution samples in an arbitrary array configuration environment, in particular to a method for removing interference samples in an arbitrary array based on a generalized inner product. It is used in airborne radar and all signal processing techniques involving space-time two-dimensional adaptive signal processing. Background technique [0002] The ground clutter of airborne radar presents the characteristics of space-time two-dimensional coupling, which requires the use of space-time two-dimensional adaptive signal processing (Space-Time Adaptive Processing, STAP) technology to process the signal in both air and time domains. In order to effectively use STAP technology for clutter suppression and moving target detection, it is necessary to accurately estimate the covariance matrix of the clutt...

Claims

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Application Information

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IPC IPC(8): G01S7/292
CPCG01S7/292
Inventor 周宇陈展野郝晨阳张林让万俊
Owner XIDIAN UNIV
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