Improved ESPRIT double-base MIMO radar angle evaluation method

A bistatic, radar technology, applied to radio wave measurement systems, instruments, etc., to achieve the effect of simple and efficient algorithm and suppression of color noise in airspace

Inactive Publication Date: 2017-09-05
YANGTZE UNIVERSITY
View PDF3 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing algorithms ignore the prior structural information of the noise covariance matrix, and there is room for further improvement in estimation accuracy

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Improved ESPRIT double-base MIMO radar angle evaluation method
  • Improved ESPRIT double-base MIMO radar angle evaluation method
  • Improved ESPRIT double-base MIMO radar angle evaluation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] 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.

[0018] The present invention provides a bistatic MIMO radar angle estimation method for improving ESPRIT, and the bistatic MIMO radar angle estimation method for the improved ESPRIT includes the following steps:

[0019] S1. Construct the differential covariance matrix of the received array data after matched filtering;

[0020] S2. Using the sub-eigenvalue decomposition method to perform eigendecomposition on the covariance matrix to obtain an estimate of the noise subspace;

[0021] S3. Fitting the rotation-invariant matrix by the least squares method, performing eigenvalue decompos...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an improved ESPRIT double-base MIMO radar angle evaluation method, and the method comprises the steps: inhibiting the impact from space domain color noise through building a time domain cross covariance matrix of received data; secondly obtaining the estimation of the noise subspace through an eigenvalue decomposition method; obtaining an automatically-paired estimated angle of a target angle with the fuzzy characteristics through an ESPRIT method; finally obtaining the real target angle estimation through an eigenvalue analysis method. The method can effectively inhibit the space domain color noise in an MIMO radar, and the estimated angles can be paired automatically without additional pairing calculation. Moreover, the method is simple in algorithm, is high in efficiency, and is suitable for the popularization and application in the actual MIMO radar engineering.

Description

technical field [0001] The invention relates to a radar signal processing technology, in particular to an improved ESPRIT bistatic MIMO radar angle estimation method. Background technique [0002] With the continuous success of multiple-input multiple-output (MIMO) technology in the field of mobile communication, its engineering application in the field of radar detection is gradually put on the agenda. MIMO radar uses multiple transmitting antennas to transmit orthogonal waveforms, and uses a matched filter at the receiving end to separate the signals received by multiple receiving antennas, thereby forming multiple virtual channels between the transmitting and receiving ends. Using the idea of ​​diversity, MIMO radar can greatly improve the target detection performance. It has potential advantages in resolution, anti-fading, identifiability, and noise suppression, which has attracted extensive attention from academic and engineering circles at home and abroad. According ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/41
Inventor 文方青李飞涛盛冠群王可
Owner YANGTZE UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products