A background extraction technique based on hyper circle with LMS algorithm

Liu Fang; Bai Yang; Gao Chao; Wu Yang

doi:10.1117/12.2291614

A background extraction technique based on hyper circle with LMS algorithm

Liu Fang, Bai Yang, Gao Chao, Wu Yang

Science and Technology on Electromagnetic Scattering Laboratory

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

How to substract the background clutter accurately has always been an important research for many years because it is a major factor influencing the RCS measurement. A traditional method to substract the clutter is based on a fact that if the dihedral rotating angle (around the radar line of sight (LOS)) is an integer multiple of 180°, the mathematic expectation of the dihedral signal samples equals zero. However, the algorithm proposed in this paper can get higher accuracy, which is the combination of Hyper Circle and LMS algorithm. What's more, averaging the sum of four channels gets better results which are superior to any single channel results. Numerical simulation demonstrates the excellent performance of the proposed technique.

Original language	English
Title of host publication	LIDAR Imaging Detection and Target Recognition 2017
Editors	Weimin Bao, Yueguang Lv, Daren Lv
Publisher	SPIE
ISBN (Electronic)	9781510617063
DOIs	https://doi.org/10.1117/12.2291614
Publication status	Published - 2017
Externally published	Yes
Event	LIDAR Imaging Detection and Target Recognition 2017 - Changchun, China Duration: 23 Jul 2017 → 25 Jul 2017

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	10605
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	LIDAR Imaging Detection and Target Recognition 2017
Country/Territory	China
City	Changchun
Period	23/07/17 → 25/07/17

Keywords

Background Clutter
Full-polarimetric
Hyper Circle
LMS

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10.1117/12.2291614

Cite this

Fang, L., Yang, B., Chao, G., & Yang, W. (2017). A background extraction technique based on hyper circle with LMS algorithm. In W. Bao, Y. Lv, & D. Lv (Eds.), LIDAR Imaging Detection and Target Recognition 2017 Article 106051O (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10605). SPIE. https://doi.org/10.1117/12.2291614

@inproceedings{c8d30a328b7d44aa93e273cefcaeaf81,

title = "A background extraction technique based on hyper circle with LMS algorithm",

abstract = "How to substract the background clutter accurately has always been an important research for many years because it is a major factor influencing the RCS measurement. A traditional method to substract the clutter is based on a fact that if the dihedral rotating angle (around the radar line of sight (LOS)) is an integer multiple of 180°, the mathematic expectation of the dihedral signal samples equals zero. However, the algorithm proposed in this paper can get higher accuracy, which is the combination of Hyper Circle and LMS algorithm. What's more, averaging the sum of four channels gets better results which are superior to any single channel results. Numerical simulation demonstrates the excellent performance of the proposed technique.",

keywords = "Background Clutter, Full-polarimetric, Hyper Circle, LMS",

author = "Liu Fang and Bai Yang and Gao Chao and Wu Yang",

note = "Publisher Copyright: {\textcopyright} 2017 SPIE.; LIDAR Imaging Detection and Target Recognition 2017 ; Conference date: 23-07-2017 Through 25-07-2017",

year = "2017",

doi = "10.1117/12.2291614",

language = "English",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "SPIE",

editor = "Weimin Bao and Yueguang Lv and Daren Lv",

booktitle = "LIDAR Imaging Detection and Target Recognition 2017",

address = "United States",

}

Fang, L, Yang, B, Chao, G & Yang, W 2017, A background extraction technique based on hyper circle with LMS algorithm. in W Bao, Y Lv & D Lv (eds), LIDAR Imaging Detection and Target Recognition 2017., 106051O, Proceedings of SPIE - The International Society for Optical Engineering, vol. 10605, SPIE, LIDAR Imaging Detection and Target Recognition 2017, Changchun, China, 23/07/17. https://doi.org/10.1117/12.2291614

A background extraction technique based on hyper circle with LMS algorithm. / Fang, Liu; Yang, Bai; Chao, Gao et al.
LIDAR Imaging Detection and Target Recognition 2017. ed. / Weimin Bao; Yueguang Lv; Daren Lv. SPIE, 2017. 106051O (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10605).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A background extraction technique based on hyper circle with LMS algorithm

AU - Fang, Liu

AU - Yang, Bai

AU - Chao, Gao

AU - Yang, Wu

PY - 2017

Y1 - 2017

N2 - How to substract the background clutter accurately has always been an important research for many years because it is a major factor influencing the RCS measurement. A traditional method to substract the clutter is based on a fact that if the dihedral rotating angle (around the radar line of sight (LOS)) is an integer multiple of 180°, the mathematic expectation of the dihedral signal samples equals zero. However, the algorithm proposed in this paper can get higher accuracy, which is the combination of Hyper Circle and LMS algorithm. What's more, averaging the sum of four channels gets better results which are superior to any single channel results. Numerical simulation demonstrates the excellent performance of the proposed technique.

AB - How to substract the background clutter accurately has always been an important research for many years because it is a major factor influencing the RCS measurement. A traditional method to substract the clutter is based on a fact that if the dihedral rotating angle (around the radar line of sight (LOS)) is an integer multiple of 180°, the mathematic expectation of the dihedral signal samples equals zero. However, the algorithm proposed in this paper can get higher accuracy, which is the combination of Hyper Circle and LMS algorithm. What's more, averaging the sum of four channels gets better results which are superior to any single channel results. Numerical simulation demonstrates the excellent performance of the proposed technique.

KW - Background Clutter

KW - Full-polarimetric

KW - Hyper Circle

KW - LMS

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DO - 10.1117/12.2291614

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T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - LIDAR Imaging Detection and Target Recognition 2017

A2 - Bao, Weimin

A2 - Lv, Yueguang

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PB - SPIE

T2 - LIDAR Imaging Detection and Target Recognition 2017

Y2 - 23 July 2017 through 25 July 2017

ER -

A background extraction technique based on hyper circle with LMS algorithm

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Keywords

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