Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/3015166.3015204acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicspsConference Proceedingsconference-collections
research-article

A Novel Clutter Suppression Technique in Pulse Radar Exploiting Adaptive Filter

Published: 21 November 2016 Publication History

Abstract

Clutter suppression is essential to radar signal processing, but it still suffers from some severe problems which need to be discussed in this paper. The moving target indication (MTI) is a commonly used approach in clutter cancellation, and is very effective when radar detecting moving targets in clutter interference environment. However, the wide notch developed by MTI filter result in significant signal losses for low-velocity targets, and thereby, brings serious negative impact in the detection of these targets. In order to solve this problem, a fast block normalized least mean square (FBNLMS) method for pulse radar is proposed in this paper, and it not only can suppress the interference but also protect the energy of low-velocity target. A multichannel fast block NLMS (MC-FBNLMS) algorithm is also developed to suppress the moving clutter which has non-zero Doppler frequency and spread Doppler spectrum. The effectiveness of the proposed approaches has been verified by experimental analysis.

References

[1]
Ma, X. Y. and Xiang, J. B. 1999. Radar Signal Processing. Hunan Science and Technology Press, Hunan.
[2]
Hu, K. X. 2006. Application of an adaptive clutter rejection technique in radar. Modern Electronics Technique. 29, 8 (2006), 24--26.
[3]
Zhong, H. L. and Chai, C. C. 2005. Study on radar clutter characteristics and clutter suppression technique. Information and Electronic Engineering. 3, 1 (2005), 66--71.
[4]
Haykin, S. 1996. Adaptive filter theory (2nd ed.). Prentice Hall.
[5]
Malanowski, M. 2006. Comparison of Adaptive Methods for Clutter Removal in PCL Radar. International Radar Symposium. (May 24--26, 2006), 1--4.
[6]
Glover J. R. 1977. Adaptive noise canceling applied to sinusoidal interferences. IEEE Transactions on Acoustics, Speech and Signal Processing. 25, 6 (Dec. 1997), 484--491.
[7]
Clark G. A., Mitra S. K., and Parker S. R. 1981. Block implementation of adaptive digital filters. IEEE Transactions on Acoustics, Speech and Signal Processing, 29, 3 (June. 1981), 744--752.
[8]
Clark G. A., Parker S. R. and Mitra S. K.A. 1983. A unified approach to time- and frequency-domain realization of FIR adaptive digital filters. IEEE Transactions on Acoustics, Speech and Signal Processing, 31, 5 (Oct. 1983), 1073--1083.
[9]
He, J. T. 2007. Study and implementation of radar clutter suppression. Xidian University, Xi'an.

Cited By

View all
  • (2022)Robust Algorithm for Detecting Moving Targets Against the Background of Non-Gaussian Clutter2022 Workshop on Microwave Theory and Techniques in Wireless Communications (MTTW)10.1109/MTTW56973.2022.9942645(129-133)Online publication date: 5-Oct-2022
  1. A Novel Clutter Suppression Technique in Pulse Radar Exploiting Adaptive Filter

    Recommendations

    Comments

    Please enable JavaScript to view thecomments powered by Disqus.

    Information & Contributors

    Information

    Published In

    cover image ACM Other conferences
    ICSPS 2016: Proceedings of the 8th International Conference on Signal Processing Systems
    November 2016
    235 pages
    ISBN:9781450347907
    DOI:10.1145/3015166
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 21 November 2016

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. Pulse radar
    2. adaptive filter
    3. clutter suppression
    4. fast block normalized least mean square (FBNLMS)
    5. low-velocity target

    Qualifiers

    • Research-article
    • Research
    • Refereed limited

    Conference

    ICSPS 2016

    Acceptance Rates

    ICSPS 2016 Paper Acceptance Rate 46 of 83 submissions, 55%;
    Overall Acceptance Rate 46 of 83 submissions, 55%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)4
    • Downloads (Last 6 weeks)1
    Reflects downloads up to 27 Nov 2024

    Other Metrics

    Citations

    Cited By

    View all
    • (2022)Robust Algorithm for Detecting Moving Targets Against the Background of Non-Gaussian Clutter2022 Workshop on Microwave Theory and Techniques in Wireless Communications (MTTW)10.1109/MTTW56973.2022.9942645(129-133)Online publication date: 5-Oct-2022

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media