OTHR Spectrum Reconstruction of Maneuvering Target with Compressive Sensing

OTHR Spectrum Reconstruction of Maneuvering Target with Compressive Sensing

High-frequency (HF) over-the-horizon radar (OTHR) works in a very complicated electromagnetic environment. It usually suffers performance degradation caused by transient interference. In this paper, we study the transient interference excision and full spectrum reconstruction of maneuvering targets....

Full description

Bibliographic Details
Main Authors: Yinghui Quan, Lei Zhang, Yachao Li, Hongxian Wang, Mengdao Xing
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:International Journal of Antennas and Propagation
Online Access:http://dx.doi.org/10.1155/2014/870352
id doaj-472f29d1f0b640afb0708ee92bfd72d0
record_format Article
spelling doaj-472f29d1f0b640afb0708ee92bfd72d02020-11-24T22:49:13ZengHindawi LimitedInternational Journal of Antennas and Propagation1687-58691687-58772014-01-01201410.1155/2014/870352870352OTHR Spectrum Reconstruction of Maneuvering Target with Compressive SensingYinghui Quan0Lei Zhang1Yachao Li2Hongxian Wang3Mengdao Xing4National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, ChinaNational Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, ChinaNational Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, ChinaNational Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, ChinaNational Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, ChinaHigh-frequency (HF) over-the-horizon radar (OTHR) works in a very complicated electromagnetic environment. It usually suffers performance degradation caused by transient interference. In this paper, we study the transient interference excision and full spectrum reconstruction of maneuvering targets. The segmental subspace projection (SP) approach is applied to suppress the clutter and locate the transient interference. After interference excision, the spectrum is reconstructed from incomplete measurements via compressive sensing (CS) by using a redundant Fourier-chirp dictionary. An improved orthogonal matching pursuit (IOMP) algorithm is developed to solve the sparse decomposition optimization. Experimental results demonstrate the effectiveness of the proposed methods.http://dx.doi.org/10.1155/2014/870352
collection DOAJ
language English
format Article
sources DOAJ
author Yinghui Quan
Lei Zhang
Yachao Li
Hongxian Wang
Mengdao Xing
spellingShingle Yinghui Quan
Lei Zhang
Yachao Li
Hongxian Wang
Mengdao Xing
OTHR Spectrum Reconstruction of Maneuvering Target with Compressive Sensing
International Journal of Antennas and Propagation
author_facet Yinghui Quan
Lei Zhang
Yachao Li
Hongxian Wang
Mengdao Xing
author_sort Yinghui Quan
title OTHR Spectrum Reconstruction of Maneuvering Target with Compressive Sensing
title_short OTHR Spectrum Reconstruction of Maneuvering Target with Compressive Sensing
title_full OTHR Spectrum Reconstruction of Maneuvering Target with Compressive Sensing
title_fullStr OTHR Spectrum Reconstruction of Maneuvering Target with Compressive Sensing
title_full_unstemmed OTHR Spectrum Reconstruction of Maneuvering Target with Compressive Sensing
title_sort othr spectrum reconstruction of maneuvering target with compressive sensing
publisher Hindawi Limited
series International Journal of Antennas and Propagation
issn 1687-5869
1687-5877
publishDate 2014-01-01
description High-frequency (HF) over-the-horizon radar (OTHR) works in a very complicated electromagnetic environment. It usually suffers performance degradation caused by transient interference. In this paper, we study the transient interference excision and full spectrum reconstruction of maneuvering targets. The segmental subspace projection (SP) approach is applied to suppress the clutter and locate the transient interference. After interference excision, the spectrum is reconstructed from incomplete measurements via compressive sensing (CS) by using a redundant Fourier-chirp dictionary. An improved orthogonal matching pursuit (IOMP) algorithm is developed to solve the sparse decomposition optimization. Experimental results demonstrate the effectiveness of the proposed methods.
url http://dx.doi.org/10.1155/2014/870352
work_keys_str_mv AT yinghuiquan othrspectrumreconstructionofmaneuveringtargetwithcompressivesensing
AT leizhang othrspectrumreconstructionofmaneuveringtargetwithcompressivesensing
AT yachaoli othrspectrumreconstructionofmaneuveringtargetwithcompressivesensing
AT hongxianwang othrspectrumreconstructionofmaneuveringtargetwithcompressivesensing
AT mengdaoxing othrspectrumreconstructionofmaneuveringtargetwithcompressivesensing
_version_ 1725676776423686144

Similar Items