MIMO radar positioning algorithm for weighted block sparse recovery based on subspace fitting

Abstract

An MIMO radar positioning algorithm for weighted block sparse recovery based on subspace fitting comprises eleven steps. According to the MIMO radar positioning algorithm, a method of eliminating mutual coupling influence by using a selection matrix in the prior art is abandoned; a block MIMO radar signal receiving model is constructed through a parameterized steering vector to avoid array aperture loss and avoid loss of received information while eliminating mutual coupling; a dimension reduction matrix of a block structure receiving data model containing an unknown mutual coupling coefficient is derived; as the dimension of the signal model is reduced, the calculation amount of the algorithm is reduced, and the computational efficiency is improved, and the condition that the subspace fitting is not optimal in the prior art is abandoned; and the sparse recovery model is constructed by using the optimal subspace fitting principle, so that compared with the existing algorithm, the errorbetween the estimation subspace and the real subspace is smaller, and the utilization rate of the sampling data information is improved, and the estimation performance is improved, and the beneficialtechnical support is provided for the effective application of the MIMO radar. The MIMO radar positioning algorithm has a good application prospect.

Description

technical field [0001] The invention relates to the technical field of radar signal processing, in particular to a MIMO radar positioning algorithm based on weighted block sparse recovery of subspace fitting. Background technique [0002] Multiple-input Multiple-output (MIMO) radar is a new system radar with high detection performance and survivability proposed by referring to the multiple-input multiple-output technology in the communication field. According to the configuration distance between the transmitting antenna and the receiving antenna, MIMO radar can be divided into coherent MIMO radar (including bistatic MIMO radar and monostatic MIMO radar) and statistical MIMO radar. The direction of arrival (Direction-of-Arrival, referred to as DOA) of radar refers to the direction of arrival of the target signal, which is one of the important research directions in radar signal processing; its main purpose is to estimate the target position and locate it, so it is widely use...

AI Technical Summary

Problems solved by technology

In the prior art, most of the traditional DOA estimation algorithms are based on ideal conditions, but with the introduction of MIMO technology, the number of antennas increases, and for the same space, the distance between antennas will decrease, so the closer antennas Due to the existence of electromagnetic fields, there will be a problem of mutual coupling effect interference

Aiming at the problem of DOA estimation using MIMO radar under mutual coupling conditions, most of the current methods use a selection matrix or use auxiliary array elements to eliminate the influence of mutual coupling effects, but this will lose the array aperture, resulting in the inability to obtain all received data of the array Utilization will also increase engineering complexity; and the existing technology does not consider the optimal fitting problem between the data, resulting in a large error between the estimated data and the real data, affecting the final estimation performance

To sum up, the current existing MIMO radar estimation methods will make the resolution and accuracy of angle estimation unsatisfactory. In reality, target reconnaissance and positioning in reality need to be carried out on the basis of accurate angle estimation. Therefore, The angle estimation performance of existing technologies cannot be guaranteed in practical applications, which restricts the effective application of MIMO radars

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