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A background extraction technique based on hyper circle with LMS algorithm
Author(s): Liu Fang; Bai Yang; Gao Chao; Wu Yang
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Paper 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.

Paper Details

Date Published: 15 November 2017
PDF: 6 pages
Proc. SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017, 106051O (15 November 2017); doi: 10.1117/12.2291614
Show Author Affiliations
Liu Fang, Science and Technology on Electromagnetic Scattering Lab. (China)
Bai Yang, Science and Technology on Electromagnetic Scattering Lab. (China)
Gao Chao, Science and Technology on Electromagnetic Scattering Lab. (China)
Wu Yang, Science and Technology on Electromagnetic Scattering Lab. (China)


Published in SPIE Proceedings Vol. 10605:
LIDAR Imaging Detection and Target Recognition 2017
Yueguang Lv; Weimin Bao; Weibiao Chen; Zelin Shi; Jianzhong Su; Jindong Fei; Wei Gong; Shensheng Han; Weiqi Jin; Jian Yang, Editor(s)

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