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Radar target number estimation method based on compressing sensing

A radar target and compressed sensing technology, applied in radio wave measurement systems, instruments, etc., can solve problems such as unsuitable MIMO radar and error detection, reduce radar data transmission and data processing, collect less signal data, and reduce costs Effect

Inactive Publication Date: 2019-04-26
ANHUI UNIVERSITY
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Problems solved by technology

The problem with this method is that it may be trapped in false detections caused by unordered eigenvalues
The canonical correlation technique requires two spatially separated receive arrays, so it is not suitable for single (dual) base MIMO radar

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  • Radar target number estimation method based on compressing sensing
  • Radar target number estimation method based on compressing sensing
  • Radar target number estimation method based on compressing sensing

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Embodiment Construction

[0039] The present invention will be further described below in conjunction with accompanying drawing:

[0040] Such as figure 1 A method for estimating the number of radar targets based on compressed sensing is shown, the method includes the following steps:

[0041] (1) According to the requirements of the radar system, the sparse radar echo signal is obtained, and the sparse measurement matrix Φ is constructed by using the existing technology to realize the projection transformation of the radar echo signal to the low-dimensional space. The sparse measurement matrix Φ determines the size of the collected data. According to different radar system requirements, the sparse measurement matrix Φ adopts a Gaussian random matrix or an identity matrix.

[0042] Obtaining radar sparse echo signals includes two cases: the transmitter is sparse and the receiver is sparse:

[0043] 1. Most chirp radars are sparse at the receiving end, such as inverse synthetic aperture radar.

[00...

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Abstract

The invention relates to a radar target number estimation method based on compressing sensing. The method includes the following steps that (1) according to the requirements of a radar system, a radarsparse echo signal is acquired, sparse measurement matrix phi is constructed, and the projection transformation of the radar echo signal to low-dimensional space is achieved; (2) according to the sparsity of the radar echo signal in a transform domain, sparse transformation matrix psi is constructed, and a sparse representation model of the radar echo signal is established; (3) the sparse measurement matrix phi and the sparse transformation matrix psi are combined, and a sparse scene of the radar echo signal is reconstructed by using a reconstruction algorithm; (4) the radar target number isextracted from the sparse scene. The method can not only estimate the radar target number, but also achieve radar target detection and radar one-dimensional and two-dimensional imaging, and have the advantages of less acquisition signal data, simple system structure and high target estimation efficiency.

Description

technical field [0001] The invention relates to the technical field of radar signal processing, in particular to a method for estimating the number of radar targets based on compressed sensing. Background technique [0002] Most of the high-resolution algorithms in array signal processing are based on the premise that the number of signal sources is known or estimated. The performance of the direction of arrival estimation algorithm deteriorates sharply, or even fails. In addition, the existing single (dual) base MIMO radar positioning methods all need to assume that the number of targets is known, such as launch smoothing technology, maximum likelihood method, polynomial root method, MUSIC-ESPRIT method, projection matrix method and Dimensionality reduction, etc. However, the number of targets in the actual situation is usually unknown. If the actual number of targets is not equal to the number of targets used in the positioning algorithm, it will bring a large positionin...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/41
CPCG01S7/41
Inventor 蒋铁珍王晓波廖同庆
Owner ANHUI UNIVERSITY
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