Adaptive signal processing techniques for clutter removal in radar-based navigation systems

  • Authors:

  • Yanfeng Liang;Wenwu Wang;Jonathon Chambers

  • Affiliations:

  • College of Automation, Harbin Engineering University, China and Electronic and Electrical Engineering Department, Loughborough University, UK;Department of Electronic Engineering, University of Surrey, UK;Electronic and Electrical Engineering Department, Loughborough University, UK

  • Venue:
  • Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
  • Year:
  • 2009

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Abstract

The problem of background clutter remains as a major challenge in radar-based navigation, particularly due to its time-varying statistical properties. Adaptive solutions for clutter removal are therefore sought which meet the demanding convergence and accuracy requirements of the navigation application. In this paper, a new structure which combines blind source separation (BSS) and adaptive interference cancellation (AIC) is proposed to solve the problem more accurately without prior statistical knowledge of the sea clutter. The new algorithms are confirmed to outperform previously proposed adaptive schemes for such processing through simulation studies.