On the performance of Low Computational Complexity DSI Suppression Techniques Using Satellite Transmitters

• Published in: IEEE International Symposium on Signal Processing and Information Technology pp. 1 - 5
• Main Authors: Montlouis, Webert, Zhu, Yingxu
• Format: Conference Proceeding
• Language: English
• Published: IEEE 09.12.2020
• Subjects: Bistatic radar; Direct signal Interference; FBLMS; Geometry; NLMS; Receivers; RLS; Satellite based Bistaic Radar; Signal processing; Signal processing algorithms; Surveillance; Transmitters
• ISSN: 2641-5542
• DOI: 10.1109/ISSPIT51521.2020.9408755

Direct Signal Interference (DSI) suppression is a necessary step in any passive bistatic radar system. The ground-based bistatic radar suffers significantly from the direct signal interference because of the short baseline distance between the transmitter and the receiver. But, many other bistatic radar geometries minimize the impact of this physical constraint. Each configuration has its degree of difficulties and requires less or more complicated suppression algorithms for a successful implementation. In some configurations, the power level difference between the target signals versus the direct path is not as large, therefore it is possible to use less complicated DSI techniques to pull the target signal from interference plus noise. One such bistatic geometry uses the satellite-based bistatic radar concept to perform surveillance in an area of interest close to the ground. This paper investigates the performance of a DVB-S signal using a class of iterative algorithms Normalized Least Mean Squares (NLMS), Wiener, Recursive Least Squares (RLS), and Fast Block Least Mean Squares (FBLMS) to suppress the direct signal using a satellite-based transmitter and a ground-based receiver to perform surveillance.