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Robust beam forming method based on desired signal elimination and spatial spectrum estimation

A technology of spatial spectrum estimation and expected signal, applied in constraint-based CAD, calculation, design optimization/simulation, etc., can solve problems such as insufficient resolution of Capon spectrum estimation, error of array signal model, performance degradation of beamformer, etc., to achieve The effect of high engineering application value, excellent comprehensive performance, and strong beamforming robustness

Pending Publication Date: 2022-06-21
中国人民解放军火箭军工程大学
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Problems solved by technology

[0009] In view of the deficiencies in the prior art, the purpose of the present invention is to provide a robust beamforming method based on desired signal elimination and spatial spectrum estimation, aiming to solve the problems caused by the errors in the array signal model and the insufficient resolution of Capon spectrum estimation. Technical issues with beamformer performance degradation

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  • Robust beam forming method based on desired signal elimination and spatial spectrum estimation
  • Robust beam forming method based on desired signal elimination and spatial spectrum estimation
  • Robust beam forming method based on desired signal elimination and spatial spectrum estimation

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Embodiment

[0115] This embodiment provides a robust beamforming method based on desired signal cancellation and spatial spectrum estimation, and the method includes the following steps:

[0116] Step 1, a uniform linear array composed of M isotropic array elements receives 1 desired signal and L interference signals from the far field, and the sampling covariance matrix obtained when receiving K snapshots can be expressed as:

[0117]

[0118] where:

[0119] represents the sampling covariance matrix;

[0120] x(k) represents the data received by the array at instant k;

[0121] (·) H Represents the Hermitian transpose operation;

[0122] k represents the kth sampling snapshot number;

[0123] K represents the number of sampling snapshots;

[0124] Step 2, on the sampling covariance matrix Perform eigenvalue decomposition, and determine the eigenvectors corresponding to M-L-1 smaller eigenvalues ​​to form a noise subspace G according to the number of known sources N , using ...

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Abstract

The invention provides a robust beam forming method based on desired signal elimination and spatial spectrum estimation, which comprises the following steps: firstly, estimating a DOA (Direction of Arrival) of a signal by using a MUSIC high-resolution spatial spectrum estimation algorithm; secondly, carrying out eigendecomposition on an integral matrix of an area where the SOI is located, and constructing an SEM by utilizing eigenvectors corresponding to several relatively large eigenvalues; then, the sampling covariance matrix is projected to the SEM to eliminate the influence of the SOI, and the power of an interference signal is estimated, thereby constructing the INCM. And the SOI steering vector is optimized by solving a quadratic constraint quadratic programming problem. And finally, the optimal weight vector of the array is calculated by using the reconstructed INCM and the estimated SOI steering vector. The method has good robustness for errors such as desired signal DOA errors, array element position disturbance errors and incoherent local scattering, and has better comprehensive performance than several existing typical robust beam forming methods.

Description

technical field [0001] The invention belongs to the technical field of array signal processing, relates to robust beamforming, and in particular relates to a robust beamforming method based on desired signal cancellation and spatial spectrum estimation. Background technique [0002] A directional array antenna that forms a beam pattern according to some optimal criterion is called a smart antenna, and is also regarded as an adaptive array antenna. A smart antenna essentially means that a computer can control the performance of the antenna, which greatly improves the performance of an array system. The adaptive array processing technology can adjust the weighting vector of the array antenna in real time according to the signal environment. It adopts an adaptive algorithm to obtain a certain gain in the direction of the desired signal (signal of interest, SOI), and suppress the interference signal in its direction, which is usually called adaptive beamforming. [0003] Howev...

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Application Information

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IPC IPC(8): G06F30/20G06F17/16G06F111/04G06F119/10
CPCG06F30/20G06F17/16G06F2111/04G06F2119/10
Inventor 曹菲吕岩许剑锋冯晓伟秦建强
Owner 中国人民解放军火箭军工程大学
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