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Adaptive polarimetric detection method for target in partially homogeneous background

Lei, Shiwen LU ; Zhao, Zhiqin; Nie, Zaiping and Liu, Qing-Huo (2015) In Signal Processing 106. p.301-311
Abstract
In this paper,the problem of enhancing the detection performance of detector for target in partially homogeneous background is addressed. ased on a general measurement model, a new constant false alarm rate (CFAR) adaptive matched detector (AMD) is proposed through a two-step design procedure. The detection performance of the AMD is theoretically analyzed. Then, the correctness of the analytical results and the effectiveness of the AMD are validated through numerical experiments and IPIX radar data. To further improve the detection performance of AMD, optimal polarimetric waveform design is approached. The waveform is designed by optimally selecting the transmitted polarization that maximizes a non-central parameter of the detection... (More)
In this paper,the problem of enhancing the detection performance of detector for target in partially homogeneous background is addressed. ased on a general measurement model, a new constant false alarm rate (CFAR) adaptive matched detector (AMD) is proposed through a two-step design procedure. The detection performance of the AMD is theoretically analyzed. Then, the correctness of the analytical results and the effectiveness of the AMD are validated through numerical experiments and IPIX radar data. To further improve the detection performance of AMD, optimal polarimetric waveform design is approached. The waveform is designed by optimally selecting the transmitted polarization that maximizes a non-central parameter of the detection probability. Numerical experiments are provided to validate the performance improvement by comparing the optimal AMD with the optimal adaptive subspace detector(ASD) and the fixed AMDs. Comparison results show that a gain of 1–5 dB is obtained by the optimal AMD. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Adaptive matched detector, Partially homogeneous background, Polarimetric diversity, Waveform design
in
Signal Processing
volume
106
pages
301 - 311
publisher
Elsevier
external identifiers
  • scopus:84907302864
ISSN
0165-1684
DOI
10.1016/j.sigpro.2014.07.019
language
English
LU publication?
yes
id
39e87951-b588-479d-858e-01e62ab091de (old id 8410146)
date added to LUP
2016-02-29 15:48:09
date last changed
2017-11-19 03:20:06
@article{39e87951-b588-479d-858e-01e62ab091de,
  abstract     = {In this paper,the problem of enhancing the detection performance of detector for target in partially homogeneous background is addressed. ased on a general measurement model, a new constant false alarm rate (CFAR) adaptive matched detector (AMD) is proposed through a two-step design procedure. The detection performance of the AMD is theoretically analyzed. Then, the correctness of the analytical results and the effectiveness of the AMD are validated through numerical experiments and IPIX radar data. To further improve the detection performance of AMD, optimal polarimetric waveform design is approached. The waveform is designed by optimally selecting the transmitted polarization that maximizes a non-central parameter of the detection probability. Numerical experiments are provided to validate the performance improvement by comparing the optimal AMD with the optimal adaptive subspace detector(ASD) and the fixed AMDs. Comparison results show that a gain of 1–5 dB is obtained by the optimal AMD.},
  author       = {Lei, Shiwen and Zhao, Zhiqin and Nie, Zaiping and Liu, Qing-Huo},
  issn         = {0165-1684},
  keyword      = {Adaptive matched detector,Partially homogeneous background,Polarimetric diversity,Waveform design},
  language     = {eng},
  pages        = {301--311},
  publisher    = {Elsevier},
  series       = {Signal Processing},
  title        = {Adaptive polarimetric detection method for target in partially homogeneous background},
  url          = {http://dx.doi.org/10.1016/j.sigpro.2014.07.019},
  volume       = {106},
  year         = {2015},
}