Parallel processing algorithm for multipath clutter cancellation in passive radar. Issue 1 (1st January 2018)

• Record Type: Journal Article
• Authors: Fu, Yan; Wan, Xianrong; Zhang, Xun; Yi, Jianxin; Zhang, Jian
• Is Part Of: IET radar, sonar & navigation. Volume 12:Issue 1(2018)
• Page Start: 121
• Page End: 129
• Publication Date: 2018-01-01
• Subjects: passive radar -- radar signal processing -- radar clutter -- parallel processing -- radar computing; parallel processing algorithm -- multipath clutter cancellation -- passive bistatic radar -- PBR -- computational efficiency -- real‐time signal processing; Signal processing -- Periodicals; Radar -- Periodicals; Sonar -- Periodicals; Electronics in navigation -- Periodicals; Navigation -- Periodicals; 621.3848
• DOI: 10.1049/iet-rsn.2017.0106
• Languages: English
• ISSNs: 1751-8784

Abstract

Abstract : The multipath clutter cancellation, the most computationally demanding part of signal processing in passive bistatic radar (PBR), is a key challenge in real‐time processing. However, the previous extensive cancellation algorithm (ECA) versions have their limitations in parallel implementation. In this study, an advanced version of ECA is proposed for multipath clutter cancellation in passive radar. The proposed method can improve the computational efficiency via dividing the whole signal into more batches than ECA‐batches and yielding an excellent cancellation performance at the same time. Simulation and experimental results following the theoretical analysis verify the performance of the new approach, which provides a valuable basis for real‐time signal processing in PBR.