Adaptive signal processing techniques for clutter removal in radar-based navigation systems
conference contributionposted on 19.07.2010 by Yanfeng Liang, Wenwu Wang, Jonathon Chambers
Any type of content contributed to an academic conference, such as papers, presentations, lectures or proceedings.
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.
- Mechanical, Electrical and Manufacturing Engineering