A background extraction technique based on hyper circle with LMS algorithm

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 (...

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Bibliographic Details
Main Authors Fang, Liu, Yang, Bai, Chao, Gao, Yang, Wu
Format Conference Proceeding
LanguageEnglish
Published SPIE 15.11.2017
Online AccessGet full text
ISBN9781510617063
151061706X
ISSN0277-786X
DOI10.1117/12.2291614

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Summary: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.
Bibliography:Conference Date: 2017-07-23|2017-07-25
Conference Location: Changchun, China
ISBN:9781510617063
151061706X
ISSN:0277-786X
DOI:10.1117/12.2291614