Experimental Analysis of a Clutter Suppression Algorithm for High Time-Bandwidth Noise Radar
Paper in proceeding, 2023
Noise-like, continuous waveforms have several benefits for radar operation, such as low probability of interception/identification. However, the same types of waveforms come with a significant drawback because strong signals, e.g., ground clutter, produce a correlation noise floor (CNF) that masks all weak signals. In this article, we report on the implementation and performance of an efficient clutter suppression algorithm used to suppress strong clutter echoes and allow for the detection of weaker signals. The algorithm's performance is verified using an experimental system with a time-bandwidth product of 70 dB at a centre frequency of 1.3 GHz. Application of the algorithm suppresses the CNF by over 30 dB, allowing for the detection of an unmanned aerial vehicle (UAV).
Ground Clutter
Clutter Filter
Continuous Wave (CW) Radar
Noise Radar
Author
Robert Jonsson
Saab
Chalmers, Microtechnology and Nanoscience (MC2), Applied Quantum Physics
Martin Ankel
Chalmers, Microtechnology and Nanoscience (MC2), Quantum Technology
Saab
Mats O. Tholén
Royal Institute of Technology (KTH)
Intermodulation Products AB
Tomas Bryllert
Chalmers, Microtechnology and Nanoscience (MC2), Terahertz and Millimetre Wave Laboratory
Saab
Lars Ulander
Chalmers, Space, Earth and Environment, Geoscience and Remote Sensing
Per Delsing
Chalmers, Microtechnology and Nanoscience (MC2), Quantum Technology
Patrik Dammert
Saab
Chalmers, Electrical Engineering, Signal Processing and Biomedical Engineering
Proceedings of the IEEE Radar Conference
10975764 (ISSN) 23755318 (eISSN)
9781665482783 (ISBN)
2023 IEEE International Radar Conference, RADAR 2023
Sydney, Australia,
Sydney, Australia,
Subject Categories
Signal Processing
Computer Science
DOI
10.1109/RADAR54928.2023.10371039