Adaptive Detector of Spare Range-spread Target Based on AR Model

Gu Xinfeng; Xu Zhengfeng; Yan Shuqiang; Hao Xiaolin

doi:doi:10.11648/j.sd.20180603.19

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Adaptive Detector of Spare Range-spread Target Based on AR Model

Gu Xinfeng, Xu Zhengfeng, Yan Shuqiang, Hao Xiaolin

Published in Science Discovery (Volume 6, Issue 3)

Received: 25 June 2018 Accepted: Published: 26 June 2018

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Abstract

The detecting of spare range-spread target is discussed in this paper based on the AR model of clutter. Compound-Gaussian clutter is modeled as the AR model, and a regressive approximate generalized likelihood ratio test detector based on scatter number (SN-RAGLRT-CG) is proposed. The probability false alarm of the detector is deduced. It does not need secondary range cells to estimating the parameters of clutter. The simulation results also show that the SN-RAGLRT-CG makes full use of the information scatterers and it improves the detection performance for spare scatterer targets of the detector.

Published in	Science Discovery (Volume 6, Issue 3)
DOI	10.11648/j.sd.20180603.19
Page(s)	193-198
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

Compound-Gaussian Clutter, Spherically Invariant Random Vector, AR-Model, Generalized Likelihood Ratio Test

References

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[4]	He Y, Jian T, Su F, et al. Novel range-spread target detec-tors in non-Gaussian clutter [J]. IEEETransactions on Aerospace and Electronic Systems,2010, 46: 1312-1328.
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[6]	CONTE E, LOPS M, RICCI G. Adaptive detection schemes in compound-Gaussian clutter [J]. IEEE Transactions on Aerospace and Electronic Systems, 1998, 34(4): 1058-1069.
[7]	Gerlach K. Spatially distributed target detection in non-Gaussian clutter [J]. IEEE Transactions on Aerospace and Electronic Systems, 1999, 35(3):926-934.
[8]	Gu Xinfeng, Hao Xiaolin, Liu Tongling. Range-Spread Target Adaptive Detector for Non-Gaussian Clutter[J]. Science Discovery, 2017, 5(1):48-52.
[9]	Melvin, W.L., Space-time adaptive radar performance in heterogeneous clutter. IEEE Transactions on Aerospace and Electronic Systems, 2000. 36(2): 621-633.
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[11]	Alfano G, De Maio A, Farina A. Model-based adaptive detection of range-spread targets[J]. IEE Proceedings Pt. F Radar, Sonar and Navigation, 2004, 151(1): 2-10.
[12]	Sheikhi A, Nayebi M M, Aref M R. Adaptive detection algorithm for radar signal in autoregressive interference[J]. IEE Proc.-Radar Sonar Navig., 1998, 145 (5): 309-314.
[13]	Haykin, S. and A. Steinhardt, Adaptive radar detection and estimation1992, New York: Wiley.
[14]	Gini, F. and M. Greco, Covariance matrix estimation for CFAR detection in correlated heavy tailed clutter. Signal Processing, 2002. 82(12): 1847-1859.

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APA Style

Gu Xinfeng, Xu Zhengfeng, Yan Shuqiang, Hao Xiaolin. (2018). Adaptive Detector of Spare Range-spread Target Based on AR Model. Science Discovery, 6(3), 193-198. https://doi.org/10.11648/j.sd.20180603.19

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ACS Style

Gu Xinfeng; Xu Zhengfeng; Yan Shuqiang; Hao Xiaolin. Adaptive Detector of Spare Range-spread Target Based on AR Model. Sci. Discov. 2018, 6(3), 193-198. doi: 10.11648/j.sd.20180603.19

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AMA Style

Gu Xinfeng, Xu Zhengfeng, Yan Shuqiang, Hao Xiaolin. Adaptive Detector of Spare Range-spread Target Based on AR Model. Sci Discov. 2018;6(3):193-198. doi: 10.11648/j.sd.20180603.19

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@article{10.11648/j.sd.20180603.19,
  author = {Gu Xinfeng and Xu Zhengfeng and Yan Shuqiang and Hao Xiaolin},
  title = {Adaptive Detector of Spare Range-spread Target Based on AR Model},
  journal = {Science Discovery},
  volume = {6},
  number = {3},
  pages = {193-198},
  doi = {10.11648/j.sd.20180603.19},
  url = {https://doi.org/10.11648/j.sd.20180603.19},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20180603.19},
  abstract = {The detecting of spare range-spread target is discussed in this paper based on the AR model of clutter. Compound-Gaussian clutter is modeled as the AR model, and a regressive approximate generalized likelihood ratio test detector based on scatter number (SN-RAGLRT-CG) is proposed. The probability false alarm of the detector is deduced. It does not need secondary range cells to estimating the parameters of clutter. The simulation results also show that the SN-RAGLRT-CG makes full use of the information scatterers and it improves the detection performance for spare scatterer targets of the detector.},
 year = {2018}
}

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TY  - JOUR
T1  - Adaptive Detector of Spare Range-spread Target Based on AR Model
AU  - Gu Xinfeng
AU  - Xu Zhengfeng
AU  - Yan Shuqiang
AU  - Hao Xiaolin
Y1  - 2018/06/26
PY  - 2018
N1  - https://doi.org/10.11648/j.sd.20180603.19
DO  - 10.11648/j.sd.20180603.19
T2  - Science Discovery
JF  - Science Discovery
JO  - Science Discovery
SP  - 193
EP  - 198
PB  - Science Publishing Group
SN  - 2331-0650
UR  - https://doi.org/10.11648/j.sd.20180603.19
AB  - The detecting of spare range-spread target is discussed in this paper based on the AR model of clutter. Compound-Gaussian clutter is modeled as the AR model, and a regressive approximate generalized likelihood ratio test detector based on scatter number (SN-RAGLRT-CG) is proposed. The probability false alarm of the detector is deduced. It does not need secondary range cells to estimating the parameters of clutter. The simulation results also show that the SN-RAGLRT-CG makes full use of the information scatterers and it improves the detection performance for spare scatterer targets of the detector.
VL  - 6
IS  - 3
ER  -

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Author Information

Gu Xinfeng

China Satellite Maritime Tracking & Control Department, Jiangyin, China
Xu Zhengfeng

China Satellite Maritime Tracking & Control Department, Jiangyin, China
Yan Shuqiang

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

Yantai Electricity and Economy Technical Institute, Yantai, China

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APA Style

Gu Xinfeng, Xu Zhengfeng, Yan Shuqiang, Hao Xiaolin. (2018). Adaptive Detector of Spare Range-spread Target Based on AR Model. Science Discovery, 6(3), 193-198. https://doi.org/10.11648/j.sd.20180603.19

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ACS Style

Gu Xinfeng; Xu Zhengfeng; Yan Shuqiang; Hao Xiaolin. Adaptive Detector of Spare Range-spread Target Based on AR Model. Sci. Discov. 2018, 6(3), 193-198. doi: 10.11648/j.sd.20180603.19

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AMA Style

Gu Xinfeng, Xu Zhengfeng, Yan Shuqiang, Hao Xiaolin. Adaptive Detector of Spare Range-spread Target Based on AR Model. Sci Discov. 2018;6(3):193-198. doi: 10.11648/j.sd.20180603.19

Copy | Download

@article{10.11648/j.sd.20180603.19,
  author = {Gu Xinfeng and Xu Zhengfeng and Yan Shuqiang and Hao Xiaolin},
  title = {Adaptive Detector of Spare Range-spread Target Based on AR Model},
  journal = {Science Discovery},
  volume = {6},
  number = {3},
  pages = {193-198},
  doi = {10.11648/j.sd.20180603.19},
  url = {https://doi.org/10.11648/j.sd.20180603.19},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20180603.19},
  abstract = {The detecting of spare range-spread target is discussed in this paper based on the AR model of clutter. Compound-Gaussian clutter is modeled as the AR model, and a regressive approximate generalized likelihood ratio test detector based on scatter number (SN-RAGLRT-CG) is proposed. The probability false alarm of the detector is deduced. It does not need secondary range cells to estimating the parameters of clutter. The simulation results also show that the SN-RAGLRT-CG makes full use of the information scatterers and it improves the detection performance for spare scatterer targets of the detector.},
 year = {2018}
}

Copy | Download

TY  - JOUR
T1  - Adaptive Detector of Spare Range-spread Target Based on AR Model
AU  - Gu Xinfeng
AU  - Xu Zhengfeng
AU  - Yan Shuqiang
AU  - Hao Xiaolin
Y1  - 2018/06/26
PY  - 2018
N1  - https://doi.org/10.11648/j.sd.20180603.19
DO  - 10.11648/j.sd.20180603.19
T2  - Science Discovery
JF  - Science Discovery
JO  - Science Discovery
SP  - 193
EP  - 198
PB  - Science Publishing Group
SN  - 2331-0650
UR  - https://doi.org/10.11648/j.sd.20180603.19
AB  - The detecting of spare range-spread target is discussed in this paper based on the AR model of clutter. Compound-Gaussian clutter is modeled as the AR model, and a regressive approximate generalized likelihood ratio test detector based on scatter number (SN-RAGLRT-CG) is proposed. The probability false alarm of the detector is deduced. It does not need secondary range cells to estimating the parameters of clutter. The simulation results also show that the SN-RAGLRT-CG makes full use of the information scatterers and it improves the detection performance for spare scatterer targets of the detector.
VL  - 6
IS  - 3
ER  -

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