Range-Spread Target Adaptive Detector for Non-Gaussian Clutter

Gu Xinfeng; Hao Xiaolin; Liu Tongling; Yang Ganlin; Li Xinxing

doi:doi:10.11648/j.sd.20170501.18

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Range-Spread Target Adaptive Detector for Non-Gaussian Clutter

Gu Xinfeng, Hao Xiaolin, Liu Tongling, Yang Ganlin, Li Xinxing

Published in Science Discovery (Volume 5, Issue 1)

Received: 11 April 2017 Accepted: Published: 12 April 2017

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Abstract

This paper addresses range-spread target detection in non-Gaussian clutter modeled as spherically invariant random vector clutter (SIRV). A adaptive modified scatterer density dependent (AMSDD) detector based on clutter power is addressed for the problem that MSDD has detection loss when falsely estimating the number of scatterers. Firstly, it estimates the scatterers by the power of clutter. Then, the returns of target scatterers are used to compare with the threshold to determine whether the target is exist or not. Compare with the MSDD and the NSDD , the AMSDD, adaptively estimates the number of target scatterers according to the observations, which can improve performance and robustness of detector effectively.

Published in	Science Discovery (Volume 5, Issue 1)
DOI	10.11648/j.sd.20170501.18
Page(s)	48-52
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), 2024. Published by Science Publishing Group

Keywords

Non-Gaussian Clutter, Range-Spread Rarget, Detection, Adaptive

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.
[5]	Gerlach K, Steiner M, Lin F C. Detection of a spatially distributed target in white noise [J]. IEEE Signal Processing Letters, 1997, 4(7): 198-200.
[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]	Rangaswamy. M, Weiner.D. D and Ozturk. A. Computer generation of correlated Non-Gaussian radar clutter [J]. IEEE Transactions on Aerospace and Electronic Systems, 1995, 31(1): 106-l16.
[9]	K. Gerlach. 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。
[11]	Strong Scatterers Integrator Based on ADT in Non-Gaussian Cluter. Gu X. F., Hao X. L., Yang G. L. et.al. Science Discover, 2016,vol 4(1):26-30.

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APA Style

Gu Xinfeng, Hao Xiaolin, Liu Tongling, Yang Ganlin, Li Xinxing. (2017). Range-Spread Target Adaptive Detector for Non-Gaussian Clutter. Science Discovery, 5(1), 48-52. https://doi.org/10.11648/j.sd.20170501.18

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ACS Style

Gu Xinfeng; Hao Xiaolin; Liu Tongling; Yang Ganlin; Li Xinxing. Range-Spread Target Adaptive Detector for Non-Gaussian Clutter. Sci. Discov. 2017, 5(1), 48-52. doi: 10.11648/j.sd.20170501.18

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AMA Style

Gu Xinfeng, Hao Xiaolin, Liu Tongling, Yang Ganlin, Li Xinxing. Range-Spread Target Adaptive Detector for Non-Gaussian Clutter. Sci Discov. 2017;5(1):48-52. doi: 10.11648/j.sd.20170501.18

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@article{10.11648/j.sd.20170501.18,
  author = {Gu Xinfeng and Hao Xiaolin and Liu Tongling and Yang Ganlin and Li Xinxing},
  title = {Range-Spread Target Adaptive Detector for Non-Gaussian Clutter},
  journal = {Science Discovery},
  volume = {5},
  number = {1},
  pages = {48-52},
  doi = {10.11648/j.sd.20170501.18},
  url = {https://doi.org/10.11648/j.sd.20170501.18},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20170501.18},
  abstract = {This paper addresses range-spread target detection in non-Gaussian clutter modeled as spherically invariant random vector clutter (SIRV). A adaptive modified scatterer density dependent (AMSDD) detector based on clutter power is addressed for the problem that MSDD has detection loss when falsely estimating the number of scatterers. Firstly, it estimates the scatterers by the power of clutter. Then, the returns of target scatterers are used to compare with the threshold to determine whether the target is exist or not. Compare with the MSDD and the NSDD , the AMSDD, adaptively estimates the number of target scatterers according to the observations, which can improve performance and robustness of detector effectively.},
 year = {2017}
}

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TY  - JOUR
T1  - Range-Spread Target Adaptive Detector for Non-Gaussian Clutter
AU  - Gu Xinfeng
AU  - Hao Xiaolin
AU  - Liu Tongling
AU  - Yang Ganlin
AU  - Li Xinxing
Y1  - 2017/04/12
PY  - 2017
N1  - https://doi.org/10.11648/j.sd.20170501.18
DO  - 10.11648/j.sd.20170501.18
T2  - Science Discovery
JF  - Science Discovery
JO  - Science Discovery
SP  - 48
EP  - 52
PB  - Science Publishing Group
SN  - 2331-0650
UR  - https://doi.org/10.11648/j.sd.20170501.18
AB  - This paper addresses range-spread target detection in non-Gaussian clutter modeled as spherically invariant random vector clutter (SIRV). A adaptive modified scatterer density dependent (AMSDD) detector based on clutter power is addressed for the problem that MSDD has detection loss when falsely estimating the number of scatterers. Firstly, it estimates the scatterers by the power of clutter. Then, the returns of target scatterers are used to compare with the threshold to determine whether the target is exist or not. Compare with the MSDD and the NSDD , the AMSDD, adaptively estimates the number of target scatterers according to the observations, which can improve performance and robustness of detector effectively.
VL  - 5
IS  - 1
ER  -

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Author Information

Gu Xinfeng

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

Yantai Electricity and Economy Technical Institute, Yantai, China
Liu Tongling

China Satellite Maritime Tracking & Control Department, Jiangyin, 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, Liu Tongling, Yang Ganlin, Li Xinxing. (2017). Range-Spread Target Adaptive Detector for Non-Gaussian Clutter. Science Discovery, 5(1), 48-52. https://doi.org/10.11648/j.sd.20170501.18

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ACS Style

Gu Xinfeng; Hao Xiaolin; Liu Tongling; Yang Ganlin; Li Xinxing. Range-Spread Target Adaptive Detector for Non-Gaussian Clutter. Sci. Discov. 2017, 5(1), 48-52. doi: 10.11648/j.sd.20170501.18

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AMA Style

Gu Xinfeng, Hao Xiaolin, Liu Tongling, Yang Ganlin, Li Xinxing. Range-Spread Target Adaptive Detector for Non-Gaussian Clutter. Sci Discov. 2017;5(1):48-52. doi: 10.11648/j.sd.20170501.18

Copy | Download

@article{10.11648/j.sd.20170501.18,
  author = {Gu Xinfeng and Hao Xiaolin and Liu Tongling and Yang Ganlin and Li Xinxing},
  title = {Range-Spread Target Adaptive Detector for Non-Gaussian Clutter},
  journal = {Science Discovery},
  volume = {5},
  number = {1},
  pages = {48-52},
  doi = {10.11648/j.sd.20170501.18},
  url = {https://doi.org/10.11648/j.sd.20170501.18},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20170501.18},
  abstract = {This paper addresses range-spread target detection in non-Gaussian clutter modeled as spherically invariant random vector clutter (SIRV). A adaptive modified scatterer density dependent (AMSDD) detector based on clutter power is addressed for the problem that MSDD has detection loss when falsely estimating the number of scatterers. Firstly, it estimates the scatterers by the power of clutter. Then, the returns of target scatterers are used to compare with the threshold to determine whether the target is exist or not. Compare with the MSDD and the NSDD , the AMSDD, adaptively estimates the number of target scatterers according to the observations, which can improve performance and robustness of detector effectively.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Range-Spread Target Adaptive Detector for Non-Gaussian Clutter
AU  - Gu Xinfeng
AU  - Hao Xiaolin
AU  - Liu Tongling
AU  - Yang Ganlin
AU  - Li Xinxing
Y1  - 2017/04/12
PY  - 2017
N1  - https://doi.org/10.11648/j.sd.20170501.18
DO  - 10.11648/j.sd.20170501.18
T2  - Science Discovery
JF  - Science Discovery
JO  - Science Discovery
SP  - 48
EP  - 52
PB  - Science Publishing Group
SN  - 2331-0650
UR  - https://doi.org/10.11648/j.sd.20170501.18
AB  - This paper addresses range-spread target detection in non-Gaussian clutter modeled as spherically invariant random vector clutter (SIRV). A adaptive modified scatterer density dependent (AMSDD) detector based on clutter power is addressed for the problem that MSDD has detection loss when falsely estimating the number of scatterers. Firstly, it estimates the scatterers by the power of clutter. Then, the returns of target scatterers are used to compare with the threshold to determine whether the target is exist or not. Compare with the MSDD and the NSDD , the AMSDD, adaptively estimates the number of target scatterers according to the observations, which can improve performance and robustness of detector effectively.
VL  - 5
IS  - 1
ER  -

Copy | Download