MIMO (multiple-input multiple-output) radar dimension reduction self-adaptive wave beam forming method

Abstract

The invention belongs to the technical field of radar self-adaptive wave beam forming, and particularly relates to an MIMO (multiple-input multiple-output) radar dimension reduction self-adaptive wave beam forming method. The method comprises the concrete steps that the received K times of echo is sampled, in addition, all vectors obtained through the sampling on the same time of echo signals are ranged according to the lines for forming a data array, and K data matrixes can be obtained; the emitting signal data in the same moment is recorded and is ranged into K data matrixes; the sampling data matrixes of each time of echo signals are used for multiplying the pseudo-inverse of the corresponding emitting signal data matrix, and in addition, the result obtained by the multiplying in each time is recorded; the multi-stage dimension reduction processing is carried out on the singular vector on weight vectors, and further, a bi-iterative algorithm is used for solving each pair of singular vector to approaching to the high-dimension optimum weight vector; the calculated optimum weight is used for carrying out wave beam formation.

Description

technical field [0001] The invention belongs to the technical field of radar adaptive beamforming, and in particular relates to a MIMO radar dimensionality reduction adaptive beamforming method based on weight matrix low-rank approximation. The singular value decomposition of the radar signal weight matrix is ​​used to approach the multi-level Capon beamformer with high-dimensional weight vectors, so as to perform the integrated beamforming of transmitting and receiving. Background technique [0002] Modern radar technology has flourished for more than 70 years since World War II in the 1930s. Today, the working mode of radar has been developed from single-station radar to networked radar, from single-input single-output (SISO, Single-Input Single-Output) radar to MIMO radar, etc. The concept of MIMO originated from wireless communication, and its purpose is to use space diversity technology to improve channel capacity and transmission robustness. In view of the similarity...

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Problems solved by technology

However, its disadvantage is that using two low-dimensional Kronecker products to approximate high-dimensional weights will greatly reduce the degree of freedom of signal processing, resulting in serious performance loss when there is more interference.

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