MIMO radar two-dimensional direction of arrival estimation method based on constraint tensor decomposition

A tensor decomposition and direction estimation technology, applied in the field of radar, can solve the problems of unstable convergence and high computational complexity, and achieve the effect of high resolution and good resolution accuracy.

Active Publication Date: 2021-09-17
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

However, the conventional tensor decomposition method, Alternating Least Squares, has high computational complexity, unstable convergence, and requires the quantity information of the target as a priori condition

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  • MIMO radar two-dimensional direction of arrival estimation method based on constraint tensor decomposition
  • MIMO radar two-dimensional direction of arrival estimation method based on constraint tensor decomposition
  • MIMO radar two-dimensional direction of arrival estimation method based on constraint tensor decomposition

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[0074] The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0075]The core idea of ​​the present invention is: first derive the high-order tensor model of the MIMO radar receiving data with a plurality of identical transmit sub-arrays, and demonstrate that its corresponding factor matrix has a Vandermonde (Vandermonde) structure constrained by the array structure, and then pass The matrix reconstruction and singular value decomposition of the high-order tensor ensure that the left singular matrix inherits the Vandermonde structure. Finally, an ESPRIT-like algorithm is used to estimate the phase information of the target direction from the sub-matrix of the left singular matrix, and then Implements two-dimensional direction of arrival estimation.

[0076] Technical principle of the present invention is: as figure 1 As shown, consider a MIMO radar with M=M x m y transmitting array elements uniformly distributed on...

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Abstract

The invention provides an MIMO radar two-dimensional direction of arrival estimation method based on constraint tensor decomposition. The method mainly solves the problems that an existing algorithm is high in calculation complexity and poor in estimation precision. According to the method, the high-order tensor model is introduced, the multiple linear relation of MIMO radar multi-pulse receiving data is effectively utilized, and the precision and resolution of direction-of-arrival estimation are improved. The method does not need iteration, is low in calculation complexity and stable in convergence, and can be used for multi-target detection tracking under the condition that the number of space targets is unknown. A high-order tensor model suitable for an MIMO radar with a plurality of transmitting sub-arrays is constructed, the tensor model is reconstructed, and singular value decomposition is performed on an obtained reconstructed matrix, so that a left singular matrix retains a Van der Monde structure constrained by an array structure; according to the special structure of the left singular matrix, phase information of a target coming direction is estimated from a sub-matrix of the left singular matrix by using an ESPRIT-like algorithm, and then two-dimensional direction-of-arrival estimation is realized.

Description

technical field [0001] The invention belongs to the technical field of radar, and in particular relates to a two-dimensional direction-of-arrival estimation method for MIMO radar based on constrained tensor decomposition. Background technique [0002] MIMO radar is a new type of radar whose transmission waveforms are orthogonal to each other. Because of its superior performance in multi-target detection and parameter estimation, it has received extensive attention in the past two decades, especially the relatively small spacing between antenna elements. A small centralized MIMO radar is represented. Many scholars have studied and analyzed the advantages and performance improvements of MIMO radars compared with traditional phased array radars, including: good anti-jamming performance, flexible emission patterns, and wave arrivals with better resolution and higher resolution accuracy. direction estimate. This performance improvement mainly comes from the effective use of wav...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/41G01S13/72
CPCG01S7/418G01S13/726G01S7/411Y02A90/10
Inventor 杨小鹏徐峰于智超曾涛龙腾
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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