A 2D Angle Estimation Method for Multiple Input Multiple Output Radar Based on Compressed Sensing

Abstract

The invention discloses a compressed sensing-based multi-input and multi-output radar two-dimensional angle estimation method. The main objective of the invention is to solve the problems of low accuracy and large computation amount in MIMO (multi-input and multi-output) radar two-dimensional angle estimation in the prior art. The method includes the following steps that: 1) a uniform linear array model is established, and uniform array output signals are obtained; 2) a direction of arrival output uniform linear matrix and an emission angle output uniform linear matrix are respectively constructed through the output signals, and a direction-of-arrival covariance matrix and an emission angle covariance matrix are calculated; 3) a direction of arrival observation vector and an emission angle observation vector as well as a direction of arrival fitting error and an emission angle fitting error are respectively constructed through the elements of the direction of arrival covariance matrix and the emission angle covariance matrix, and a direction of arrival super complete set and an emission angle super complete set are constructed; and 4) the optimal sparse solution of the directions of arrival and the optimal sparse solution of emission angles can be calculated according to the spare relationship between the direction of arrival and emission angle observation vector and the direction of arrival and emission angle super complete set, and a direction of arrival amplitude spectrogram and an emission angle amplitude spectrogram are drawn. With the method of the invention adopted, the operating rate of passive direction finding and angle estimation accuracy under a low signal to noise ratio can be improved. The method can be used for target detection and passive location.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and in particular relates to a method for estimating a direction of arrival angle DOA and a target launch angle DOD of a multiple-input multiple-output MIMO radar system. It can be used for target reconnaissance and passive positioning of moving targets of aircraft and ships. Background technique [0002] MIMO radar uses multiple antennas to transmit different waveform signals, and then uses multiple antennas to receive echo signals, thereby obtaining a wider aperture than ordinary array radars. In MIMO radar, two-dimensional angle estimation of direction of arrival DOA and target launch angle DOD is generally required. DOA and DOD estimation is an important branch in the field of array signal processing. It refers to the use of antenna arrays to sense and receive space acoustic signals and electromagnetic signals, and then use modern signal processing methods to quickly and accurately...

AI Technical Summary

Problems solved by technology

In recent years, the L1-SRACV algorithm based on the sparse representation of array covariance vectors and the JLZA algorithm of joint approximation have appeared, but these algorithms are only suitable for one-dimensional angle estimation of ordinary array radars, not for two-dimensional angle estimation of MIMO radars.

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