Two-dimensional angle estimation method for low-complexity space target of l-type array mimo radar

Abstract

The invention aims to provide a low-complexity space target two-dimensional angle estimation method of L-shaped array MIMO radar. The method comprises the following steps that an L-shaped array is composed of two uniform linear arrays perpendicular to each other, the distance between every two adjacent array elements is a half of a wavelength, one linear array has M array elements, the other linear array has N array elements, all the array elements are receiving and sending co-located array elements, orthogonal narrow-band signals are sent, received signals are processed by means of matched filtering, and echo signals of a large-aperture virtual array are obtained; a dimensionality reduction array is designed, and dimensionality reduction is conducted on the echo signals; characteristic decomposition is conducted on a covariance matrix of dimensionality reduction signals, and a two-dimensional space spectrum function is obtained; a two-dimensional angle in the two-dimensional space spectrum function is decoupled, and space spectrum estimation is conducted on the angle of one dimension; an obtained space spectrum estimated value is substituted into the space spectrum function, and polynomial rooting estimation is conducted on the angle of the other dimension; according to the relation of trigonometrical functions, the azimuth angle and pitching angle of a target are obtained. The method greatly reduces computational complexity of algorithm, and is beneficial to real-time processing of a radar system.

Description

technical field [0001] The invention relates to a method for quickly estimating a two-dimensional angle of a space target. Background technique [0002] The concept of Multiple Input Multiple Output (MIMO) radar originates from the MIMO communication system, which has multiple transmitting antennas and multiple receiving antennas, and the transmitting signals are orthogonal to each other, and the signals are separated and processed by matched filtering technology at the receiving end. , forming a large-aperture virtual array, thereby improving the resolution of target angle estimation and increasing the freedom of the radar system. MIMO radar is mainly divided into co-site MIMO radar and statistical MIMO radar. The array structure of co-site MIMO radar is similar to that of phased array radar. Similar, so that the relevant technologies of traditional array signal processing can be applied to this type of MIMO radar, so as to obtain greater system freedom, higher spatial res...

AI Technical Summary

Problems solved by technology

The scheme points out that the L-shaped array can improve the utilization rate of system degrees of freedom and increase the number of distinguishable targets under the condition that the actual number of array elements remains unchanged, but this method requires two-dimensional space spectrum search, which has a huge amount of computation, which is not conducive to radar System real-time processing

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