High-precision positioning algorithm and high-precision positioning device for bistatic EMVS-MIMO radar

Abstract

The invention provides a high-precision positioning algorithm and device for a bistatic EMVS-MIMO radar, and the algorithm comprises the steps: constructing a sample matrix after the matched filteringof a receiving array, and calculating a covariance matrix estimation value of a received signal; constructing a high-order received signal covariance tensor model by using the Tucker tensor model; performing high-order singular value decomposition on the high-order covariance tensor model to obtain a new signal subspace and a new noise subspace; obtaining estimation of an azimuth angle and a pitch angle of the target and estimation of a two-dimensional polarization angle by using a rotation invariant technology and a vector cross product technology; and pairing of DODs and DOAs is realized byusing a subspace orthogonal principle. According to the method, a tensor structure for receiving array signals is considered, and high-precision target multi-parameter estimation can be obtained based on a tensor subspace algorithm.

Description

Technical field [0001] The invention belongs to the technical field of radar positioning, and specifically relates to a target multi-parameter estimation algorithm and device based on a Zhang quantum space algorithm under the framework of a bistatic EMVS-MIMO radar system. Background technique [0002] Multiple-input multiple-output (MIMO) radar is an emerging technology in radar systems, and it is also the core technology of next-generation mobile communications. Compared with traditional phased array radar, it has unique advantages and excellent performance in direction estimation. MIMO radar uses multiple transmitting antennas to transmit orthogonal waveforms, and a matched filter is used at the receiving end to separate the received signals of multiple receiving antennas. According to the distance between the transceiver elements, MIMO radar can be divided into distributed MIMO radar and centralized MIMO radar. Distributed MIMO radar illuminates the target from different di...

AI Technical Summary

Problems solved by technology

Compared with the electromagnetic vector sensor MIMO system with multiple transmitters and single receivers proposed by Gu et al., S. Chintagunta et al. proposed a general-purpose EMVS-MIMO radar system, that is, the system is configured with multiple transmitting EMVs and multiple receiving EMVs, and proposed a An improved ESPRIT algorithm (Chintagunta S, Ponnusamy P. 2D-DOD and 2D-DOA estimation using the electromagnetic vector sensors [J]. Signal Processing, 2018, 147:163-172.) for 2D-DOA and 2D-DOD estimation, but The tensor structure of the receiving array signal is ignored, and the accuracy of the algorithm needs to be improved

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