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MIMO (Multiple Input Multiple Output) radar sparse imaging algorithm based on hybrid matching pursuit algorithm

A matching tracking and sparse imaging technology, which is applied in the field of radar technology and signal processing, can solve the problem of low resolution and achieve good performance

Active Publication Date: 2016-06-08
江苏和正特种装备有限公司
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Problems solved by technology

IEEETransactiononInformationTheory, 2009, 55(5):2230-2249] proposed a compressed sensing greedy algorithm called subspace pursuit algorithm (subspacepursuit, SP), which corrected the problem of artifact points in the OMP algorithm, but in MIMO radar imaging In the application, its resolution is lower than that of the OMP algorithm

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  • MIMO (Multiple Input Multiple Output) radar sparse imaging algorithm based on hybrid matching pursuit algorithm
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  • MIMO (Multiple Input Multiple Output) radar sparse imaging algorithm based on hybrid matching pursuit algorithm

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[0035] The present invention will be further described below in conjunction with accompanying drawing:

[0036] The present invention provides a single-base co-location multiple-input multiple-output (MIMO) radar imaging method based on a mixed-matching tracking algorithm, mainly to solve the problem of low resolution and artifact points in the imaging results of the existing MIMO radar compressed sensing imaging algorithm shortcoming. By combining two greedy recovery algorithms, the Orthogonal Matching Pursuit (OMP) and the Subspace Pursuit (SP), using the orthogonality of the OMP algorithm when selecting the base signal and the backtracking strategy of the SP algorithm for base signal selection, the recovery can be repeated. Build high-resolution radar images without artifacts. The process is: transmit phase-encoded orthogonal signals to each transmitting array element at the transmitting end, and then use the orthogonality of the transmitting signal to perform matched filt...

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Abstract

The invention belongs to the radar technology field and the signal processing field, and relates to application of a multiple input multiple output (MIMO) type system, in particular to an MIMO radar sparse imaging algorithm based on a hybrid matching pursuit algorithm. The MIMO radar sparse imaging algorithm comprises the steps that firstly, M emitting array elements emit orthometric phase-coded signals, and N receiving array elements receive the phase-coded signals; secondly, a matched filter of a receiver of each receiving array element conducts matched filtering on the received phase-coded signals; thirdly, fourier transform is conducted on the matched-filtered signals, and a spatial spectral domain echo expression is obtained. Index selection of each time in the HMP algorithm is realized through an OMP algorithm, orthogonality of base signal selection is guaranteed through the operation, and spatial surface elements which are very close to one another can be distinguished when fourier similar characteristics exist in a dictionary matrix; meanwhile, backtracking selection operation in the HMP algorithm is the same as that in an SP algorithm.

Description

technical field [0001] The invention belongs to the technical field of radar and the field of signal processing, in particular to the application of a multi-input multi-output type system, specifically a MIMO radar sparse imaging algorithm based on a mixed-matching tracking algorithm. Background technique [0002] Multiple-input multiple-output (MIMO) radar is a new radar system emerging in the 21st century, which uses multiple transmitting and receiving antennas to observe targets simultaneously. Good array configuration design and waveform diversity technology enable MIMO radar to obtain observation channels and spatial degrees of freedom far more than the actual number of physical array elements, which can significantly improve the identifiability of parameters and achieve a more flexible emission pattern designed to improve object detection and parameter estimation performance. Compared with traditional imaging radar, MIMO radar has obvious performance advantages in ima...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/89
CPCG01S13/89
Inventor 王伟张斌李欣王犇梁栋黄智开
Owner 江苏和正特种装备有限公司
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