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

An adaptive beam and radar technology, applied in the field of MIMO radar dimensionality reduction adaptive beamforming, multi-stage Capon beamformer, transceiver integrated beamforming, can solve the problems of reducing the degree of freedom of signal processing, performance loss, etc., to reduce computing power , the effect of improving the clutter suppression performance

Inactive Publication Date: 2015-02-11
XIDIAN UNIV
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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 gr

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

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[0025] The present invention will be further described below in conjunction with accompanying drawing:

[0026] refer to figure 1 , is a flowchart of a MIMO radar dimensionality reduction adaptive beamforming method of the present invention. The MIMO radar dimensionality reduction adaptive beamforming method includes the following steps:

[0027] Step 1, the MIMO radar is a monostatic MIMO radar, the transmit array of the MIMO radar is a uniform linear array, the number of array elements of the transmit array of the MIMO radar is M, and the distance between array elements is d T ; The receiving array of the MIMO radar is a uniform linear array, the number of elements of the receiving array of the MIMO radar is N, and the distance between the elements is d R; Use the transmit array of the MIMO radar to transmit signals, and the signals transmitted by each element of the transmit array of the MIMO radar are orthogonal to each other; use the receive array of the MIMO radar to r...

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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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Application Information

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IPC IPC(8): G06F19/00G01S7/36G01S13/90
Inventor 冯大政侯瑞利蒋雨原英吕晖
Owner XIDIAN UNIV
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