Array Element Error Estimation Method Based on Clutter Subspace

A technology of clutter subspace and array element error, applied in airborne radar and communication fields, can solve the problems of clutter suppression performance and target detection performance deterioration, and achieve the effect of small error, high precision and good error estimation performance

Inactive Publication Date: 2016-04-13
XIDIAN UNIV
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Problems solved by technology

However, the disadvantage of this patented technology is that when the noise vector does not satisfy the Gaussian distribution, using this method for clutter suppression will lead to poor clutter suppression performance and target detection performance

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  • Array Element Error Estimation Method Based on Clutter Subspace
  • Array Element Error Estimation Method Based on Clutter Subspace
  • Array Element Error Estimation Method Based on Clutter Subspace

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Embodiment Construction

[0036] The present invention will be further described below in conjunction with the accompanying drawings.

[0037] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0038] Step 1. Calculate the clutter space-time steering vector matrix.

[0039] Using the radar prior information, the clutter space-time steering vector matrix is ​​calculated.

[0040] In the first step, calculate the normalized Doppler frequency according to the following formula:

[0041]

[0042] Among them, w 1 Indicates the normalized Doppler frequency, v indicates the velocity of the radar aircraft, θ indicates the pitch angle of the ground clutter scatterer, Indicates the azimuth angle of the ground clutter scatterer, λ indicates the radar operating wavelength, f r Indicates the repetition frequency of radar pulse transmissions.

[0043] In the second step, the normalized spatial frequency is calculated according to the following formula:

[0044...

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Abstract

The invention discloses an array element error estimation method based on clutter subspace. The array element error estimation method based on clutter subspace includes the implementation steps that 1, radar prior information is utilized for calculating a clutter time-space steering vector matrix; 2, singular values of radar receiving data and the clutter time-space steering vector matrix are resolved; 3, the number of the main singular values is calculated; 4, a clutter orthogonal complement space matrix is built according to the obtained number of the main singular values; 5, antenna array element errors are estimated through the obtained clutter orthogonal complement space matrix and the orthogonality of a left singular vector corresponding to a largest singular value obtained by resolving the received data; 6, a clutter signal model is corrected according to the estimated antenna array element errors, and clutter is restrained. The good antenna array element error estimation performance can be obtained under the situation with few samples and few pulses, so that the array element error estimation method based on clutter subspace has the advantages of being high in error estimation accuracy and stable in estimation performance.

Description

technical field [0001] The invention belongs to the technical field of communication, and further relates to an array element error estimation method based on clutter subspace in the technical field of airborne radar. The invention uses the estimated array element error to correct the theoretical clutter model, which can significantly improve the clutter suppression performance and target detection performance of the airborne radar. Background technique [0002] When airborne radar detects low-speed moving targets on the ground, it usually faces the competition of strong clutter, which brings severe challenges to the detection of moving targets. Space-time adaptive processing (spacetime adaptive processing, STAP) can effectively suppress clutter and realize moving target detection. Usually the covariance matrix in STAP is estimated by selecting the units adjacent to the unit to be detected as training samples. Under the condition that the training samples are independent a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/36G01S7/41
CPCG01S7/021G01S7/36G01S7/41
Inventor 吴建新李春海王彤姜磊
Owner XIDIAN UNIV
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