Matrix reconstruction based adaptive anti-interference multipath multi-beam forming method

Abstract

The invention discloses a matrix reconstruction based adaptive anti-interference multipath multi-beam forming method, and belongs to the field of digital signal processing. The method comprises the steps of firstly acquiring an autocorrelation matrix of interference signals through a method of matrix reconstruction, further acquiring an orthogonal complementary space of an interference subspace, then projecting array reception data to the orthogonal complementary space of the interference subspace so as to achieve the purposes of suppressing incoherent interference signals and acquiring data only containing coherent signals, and finally acquiring an array weighted vector of an adaptive anti-interference multipath multi-beam forming device through a method of eigenvalue decomposition. Under the condition of knowing the number of the interference signals and the range of an incident angle of each coherent signal in incident signals, multiple beams are formed in the incident direction of the coherent signals so as to carry out phase-coherent accumulation effectively on the coherent signals, and information of the coherent signals are sufficiently utilized; and null steering is formed at the incident direction of the interference signals so as to achieve the purposes of suppressing interference and improving the signal to interference and noise ratio of array output.

Description

technical field [0001] The invention belongs to the field of digital signal processing, and relates to the beamforming technology in the field of array signal processing. Specifically, when the desired signal has multi-path incidence and the interference signal and the desired signal are independent of each other, the beamformer can be used in the incident of each coherent signal. Multiple beams are formed in the direction to effectively coherently accumulate coherent signals, and adaptively form nulls in the incident direction of interference signals, so as to suppress interference and improve the SINR of the array output. Background technique [0002] The process of spatially enhancing the desired signal and suppressing interference and noise from the signals received by multiple sensors is beamforming. This technology has become one of the most important contents in array signal processing. Beamforming is divided into two parts: analog beamforming and digital beamforming ...

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Problems solved by technology

while for R u , in fact, generally only the covariance matrix R of the received data is known, and it is necessary to separate R from R u is very difficult

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