Compression spatial spectrum-based single base MIMO (Multiple Input Multiple Output) radar target DOA (Direction of Arrival) estimation method

Abstract

The invention relates to the technical field of radars, in particular to the application of a single base MIMO (Multiple Input Multiple Output) radar system and a compression spatial spectrum-based single base MIMO radar target DOA (Direction of Arrival) estimation method. The compression spatial spectrum-based single base MIMO radar target DOA estimation method comprises the steps of enabling an emission array to emit phase-coded signals which are mutually orthorhombic and enabling a receiving terminal to perform matched filtering processing through a receiving array matching filter; performing dimensionality reduction processing on J receiving data subjected to snapshotting matched filtering through a dimensionality reduction array; calculating a covariance matrix R of the receiving data Y subjected to dimensionality reduction processing and working out an intersection subspace of a noise subspace and a conjugate subspace thereof; constructing a compression spatial spectrum function and searching the compression spatial spectrum function; excluding a false DOA and obtaining a real DOA of a target. The compression spatial spectrum-based single base MIMO radar target direction of arrival estimation method avoids a combined search of a two-dimension DOA of a traditional MUSIC algorithm when searches the airspace DOA, and only needs one-dimensional space search and the algorithm complexity is reduced.

Description

technical field [0001] The invention relates to the field of radar technology, in particular to the application of a monostatic MIMO radar system, in particular to a method for estimating the direction of arrival of a monostatic MIMO radar target based on a compressed spatial spectrum. Background technique [0002] In recent years, Multiple-Input Multiple-Output (MIMO) radar has more potential advantages than traditional phased array radar, which has attracted wide attention of experts in the field of radar, and has rapidly become the current radar field. A hot research topic. According to the different configurations of MIMO radar transmitting array and receiving array, MIMO radar can be divided into two categories: one is statistical MIMO radar (IEEE Signal Processing Magazine, 2008, 25(1): 116-129), and the other is Coherent MIMO radar (IEEE Signal Processing Magazine, 2007, 24(5): 106-114), including bistatic MIMO radar with separate transceivers. Statistical MIMO rada...

AI Technical Summary

Problems solved by technology

These methods use the rotation-invariant characteristics of MIMO radar virtual steering vectors to estimate the direction of arrival of the target, and often lose part of the virtual array aperture, resulting in a certain deviation in the estimation of the final target direction of arrival.

The multiple signal classification method (Multiple Signal Classification, MUSIC) (IEEE Transations on Antennas and Propagation, 1986, 34 (3), 276-280) can obtain suboptimal DOA estimation performance, but it is directly applied to the wave There are two major problems in direction of arrival estimation: 1) joint search of two-dimensional direction of arrival parameters is required; 2) direction of arrival search for the entire airspace

Therefore, the application of the traditional MUSIC algorithm in MIMO radar often leads to high computational complexity, which cannot meet the real-time signal processing requirements in the real environment.

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