Strong Scatterers Integrator Based on ADT in Non-Gaussian Clutter

Gu Xinfeng; Hao Xiaolin; Yang Ganlin; Li Xinxing

doi:doi:10.11648/j.sd.20160401.15

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Strong Scatterers Integrator Based on ADT in Non-Gaussian Clutter

Gu Xinfeng, Hao Xiaolin, Yang Ganlin, Li Xinxing

Published in Science Discovery (Volume 4, Issue 1)

Received: 15 April 2016 Published: 16 April 2016

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Abstract

This paper addresses range-spread target detection in compound Gaussion clutter modeled as spherically invariant random vector clutter (SIRV). A Strong scatterers integrator based on Anderson-Darling test (ADT-SSI) is addressed for the problem that MSDD has detection loss when falsely estimating the number of scatterers. For ADT-SSI, adaptively estimate the number of target scatterers according to the observations, which can improve detection performance and robustness of detector effectively.

Published in	Science Discovery (Volume 4, Issue 1)
DOI	10.11648/j.sd.20160401.15
Page(s)	26-30
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Non-Gaussian Clutter, Range-Spread Rarget, Detection, Anderson- Darling Test

References

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[2]	简涛,何友,苏峰,等.非高斯杂波下距离扩展目标检测器的失配性能分析[J].电子学报,2010,38(7):1478-1482.
[3]	Hughes P K. A high-resolution radar detection strategy [J]. IEEE Trans Aerospace Electron System, 1983, (19): 663-667.
[4]	Gerlach K, Steiner M J. Adaptive detection of range distributed targets [J]. IEEE Transactions on Signal Processing, 1999, 47(7): 1844-1851.
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[6]	Conte E, De Maio A, Ricci G. GLRT-based adaptive detection algorithms for range-spread targets [J]. IEEE Transactions on Signal Processing, 2001, 49(7): 1336-1348.
[7]	戴奉周,刘宏伟,吴顺君.一种基于顺序统计量的距离扩展目标检测器[J].电子与信息学报，2009，31(10):2488-2492.
[8]	顾新锋,简涛,何友,等.协方差矩阵结构的广义近似最大似然估计[J].应用科学学报,2013,31(6):585-592.
[9]	Gerlach K. Spatially distributed target detection in non-Gaussian clutter [J]. IEEE Transactions on Aerospace and Electronic Systems, 1999, 35(3): 926-934.
[10]	简涛,何友,苏峰,等.非高斯杂波下修正的SDD距离扩展目标检测器[J].电子学报, 2009, 37(12): 2662-2667. Jian Tao, He You, Su Feng, et al. Modified SDD-GLRT detector for range-spread targets in non-Gaussian clutter [J]. Acta Electronica Sinica. 2009, 37(12): 2662-2667. (in Chinese).
[11]	Norouzi Y, Gini F, Nayebi M M. Non-coherent radar CFAR detection based on goodness-of-fit tests [J]. IET Radar Sonar Naving, 2007, 1(2): 98-105.

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APA Style

Gu Xinfeng, Hao Xiaolin, Yang Ganlin, Li Xinxing. (2016). Strong Scatterers Integrator Based on ADT in Non-Gaussian Clutter. Science Discovery, 4(1), 26-30. https://doi.org/10.11648/j.sd.20160401.15

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ACS Style

Gu Xinfeng; Hao Xiaolin; Yang Ganlin; Li Xinxing. Strong Scatterers Integrator Based on ADT in Non-Gaussian Clutter. Sci. Discov. 2016, 4(1), 26-30. doi: 10.11648/j.sd.20160401.15

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AMA Style

Gu Xinfeng, Hao Xiaolin, Yang Ganlin, Li Xinxing. Strong Scatterers Integrator Based on ADT in Non-Gaussian Clutter. Sci Discov. 2016;4(1):26-30. doi: 10.11648/j.sd.20160401.15

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@article{10.11648/j.sd.20160401.15,
  author = {Gu Xinfeng and Hao Xiaolin and Yang Ganlin and Li Xinxing},
  title = {Strong Scatterers Integrator Based on ADT in Non-Gaussian Clutter},
  journal = {Science Discovery},
  volume = {4},
  number = {1},
  pages = {26-30},
  doi = {10.11648/j.sd.20160401.15},
  url = {https://doi.org/10.11648/j.sd.20160401.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20160401.15},
  abstract = {This paper addresses range-spread target detection in compound Gaussion clutter modeled as spherically invariant random vector clutter (SIRV). A Strong scatterers integrator based on Anderson-Darling test (ADT-SSI) is addressed for the problem that MSDD has detection loss when falsely estimating the number of scatterers. For ADT-SSI, adaptively estimate the number of target scatterers according to the observations, which can improve detection performance and robustness of detector effectively.},
 year = {2016}
}

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TY  - JOUR
T1  - Strong Scatterers Integrator Based on ADT in Non-Gaussian Clutter
AU  - Gu Xinfeng
AU  - Hao Xiaolin
AU  - Yang Ganlin
AU  - Li Xinxing
Y1  - 2016/04/16
PY  - 2016
N1  - https://doi.org/10.11648/j.sd.20160401.15
DO  - 10.11648/j.sd.20160401.15
T2  - Science Discovery
JF  - Science Discovery
JO  - Science Discovery
SP  - 26
EP  - 30
PB  - Science Publishing Group
SN  - 2331-0650
UR  - https://doi.org/10.11648/j.sd.20160401.15
AB  - This paper addresses range-spread target detection in compound Gaussion clutter modeled as spherically invariant random vector clutter (SIRV). A Strong scatterers integrator based on Anderson-Darling test (ADT-SSI) is addressed for the problem that MSDD has detection loss when falsely estimating the number of scatterers. For ADT-SSI, adaptively estimate the number of target scatterers according to the observations, which can improve detection performance and robustness of detector effectively.
VL  - 4
IS  - 1
ER  -

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Author Information

Gu Xinfeng

China Satellite Maritime Tracking & Control Department, Jiangyin,China
Hao Xiaolin

Yantai Electricityn and Economy Technical Institute, Yantai, China
Yang Ganlin

China Satellite Maritime Tracking & Control Department, Jiangyin,China
Li Xinxing

China Satellite Maritime Tracking & Control Department, Jiangyin,China

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Plain Text BibTeX RIS

APA Style

Gu Xinfeng, Hao Xiaolin, Yang Ganlin, Li Xinxing. (2016). Strong Scatterers Integrator Based on ADT in Non-Gaussian Clutter. Science Discovery, 4(1), 26-30. https://doi.org/10.11648/j.sd.20160401.15

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ACS Style

Gu Xinfeng; Hao Xiaolin; Yang Ganlin; Li Xinxing. Strong Scatterers Integrator Based on ADT in Non-Gaussian Clutter. Sci. Discov. 2016, 4(1), 26-30. doi: 10.11648/j.sd.20160401.15

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AMA Style

Gu Xinfeng, Hao Xiaolin, Yang Ganlin, Li Xinxing. Strong Scatterers Integrator Based on ADT in Non-Gaussian Clutter. Sci Discov. 2016;4(1):26-30. doi: 10.11648/j.sd.20160401.15

Copy | Download

@article{10.11648/j.sd.20160401.15,
  author = {Gu Xinfeng and Hao Xiaolin and Yang Ganlin and Li Xinxing},
  title = {Strong Scatterers Integrator Based on ADT in Non-Gaussian Clutter},
  journal = {Science Discovery},
  volume = {4},
  number = {1},
  pages = {26-30},
  doi = {10.11648/j.sd.20160401.15},
  url = {https://doi.org/10.11648/j.sd.20160401.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20160401.15},
  abstract = {This paper addresses range-spread target detection in compound Gaussion clutter modeled as spherically invariant random vector clutter (SIRV). A Strong scatterers integrator based on Anderson-Darling test (ADT-SSI) is addressed for the problem that MSDD has detection loss when falsely estimating the number of scatterers. For ADT-SSI, adaptively estimate the number of target scatterers according to the observations, which can improve detection performance and robustness of detector effectively.},
 year = {2016}
}

Copy | Download

TY  - JOUR
T1  - Strong Scatterers Integrator Based on ADT in Non-Gaussian Clutter
AU  - Gu Xinfeng
AU  - Hao Xiaolin
AU  - Yang Ganlin
AU  - Li Xinxing
Y1  - 2016/04/16
PY  - 2016
N1  - https://doi.org/10.11648/j.sd.20160401.15
DO  - 10.11648/j.sd.20160401.15
T2  - Science Discovery
JF  - Science Discovery
JO  - Science Discovery
SP  - 26
EP  - 30
PB  - Science Publishing Group
SN  - 2331-0650
UR  - https://doi.org/10.11648/j.sd.20160401.15
AB  - This paper addresses range-spread target detection in compound Gaussion clutter modeled as spherically invariant random vector clutter (SIRV). A Strong scatterers integrator based on Anderson-Darling test (ADT-SSI) is addressed for the problem that MSDD has detection loss when falsely estimating the number of scatterers. For ADT-SSI, adaptively estimate the number of target scatterers according to the observations, which can improve detection performance and robustness of detector effectively.
VL  - 4
IS  - 1
ER  -

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