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Angle estimation method for bistatic MIMO (Multiple-input Multiple-output) radar based on MUSIC (Multiple Signal Classification) algorithm

A bistatic, angle-based technology, applied to radio wave measurement systems, instruments, etc., can solve the problems of limited application range, non-uniform array configuration of algorithms, etc., to achieve improved accuracy, low manifold requirements, and low computational complexity Effect

Active Publication Date: 2017-08-04
YANGTZE UNIVERSITY
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Problems solved by technology

However, existing algorithms are not suitable for non-uniform array configurations, and there are certain limitations in their scope of application
In addition, the existing noise suppression algorithms ignore the prior information of the noise structure, so the accuracy of angle estimation needs to be further improved

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  • Angle estimation method for bistatic MIMO (Multiple-input Multiple-output) radar based on MUSIC (Multiple Signal Classification) algorithm
  • Angle estimation method for bistatic MIMO (Multiple-input Multiple-output) radar based on MUSIC (Multiple Signal Classification) algorithm
  • Angle estimation method for bistatic MIMO (Multiple-input Multiple-output) radar based on MUSIC (Multiple Signal Classification) algorithm

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[0015] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention and are not intended to limit the invention.

[0016] The present invention provides a method for estimating an angle of a bistatic MIMO radar based on a MUSIC algorithm, wherein the method for estimating an angle of a bistatic MIMO radar based on a MUSIC algorithm comprises the following steps:

[0017] S1. Construct the differential covariance matrix of the received array data after matched filtering;

[0018] S2. Using the sub-eigenvalue decomposition method to perform eigendecomposition on the covariance matrix to obtain an estimate of the noise subspace;

[0019] S3. The estimation of the target angle can be obtained by using...

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Abstract

The invention discloses an angle estimation method for MIMO (Multiple-input Multiple-output) radar based on a MUSIC (Multiple Signal Classification) algorithm, which comprises the steps of building a differential covariance matrix of received array data after matched filtering, performing eigendecomposition on the covariance matrix by using a method of eigenvalue decomposition, and acquiring estimation for a noise subspace; acquiring estimation for a target angle by using a minimum value in spectrum peak search; and finally determining a true DOD value and pairing of the estimated angle through pairing calculation. The estimation method disclosed by the invention not only has an obvious inhibition effect for a Hermitian symmetry Toeplitz type of color noise of the covariance matrix and improves the precision of angle estimation for the bistatic MIMO radar, but also has low requirements for array manifolds of the MIMO radar, thereby being applicable to uniform array and nonuniform array configuration; and compared with a two-dimensional MUSIC algorithm, the angle estimation method for the bistatic MIMO radar based on the MUSIC algorithm is low in computation complexity.

Description

technical field [0001] The invention relates to a radar signal processing technology, in particular to a method for estimating the angle of a bistatic MIMO radar based on a MUSIC algorithm. Background technique [0002] Multiple-input Multiple-output (MIMO) radar is the mainstream trend of radar development in the future, and it has attracted widespread attention from scholars at home and abroad since its concept was proposed. Different from the existing phased array radar system, MIMO radar transmits multiple mutually orthogonal waveforms at the transmitting end, uses matched filters to separate the information of each channel at the receiving end, and greatly improves the target detection performance by using diversity gain. Compared with phased array radar systems, MIMO radar has potential advantages in terms of resolution, anti-fading, identifiability, and noise suppression. [0003] Angle estimation is a key part of MIMO radar target positioning, and a large number of ...

Claims

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Application Information

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IPC IPC(8): G01S7/41
CPCG01S7/41
Inventor 文方青王可盛冠群李飞涛
Owner YANGTZE UNIVERSITY
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