Wideband Interference Mitigation for Synthetic Aperture Radar Data Based on Adaptive Compressed Sampling

DOI

10.2991/fmsmt-17.2017.312How to use a DOI?

Keywords

Synthetic aperture radar; wideband interference mitigation; compressed sensing; adaptive measurement; projection filtering

Abstract

Wideband interference (WBI) is a threat to synthetic aperture radar because it occupies a large bandwidth and lead to a poor quality of SAR images. This paper presents a method of wideband interference mitigation for SAR imaging based on adaptive compressed sampling. First, an adaptive and compressed measurement, projection filter banks and an interference detector are constructed. Based on minimum output energy criterion, WBI is extracted through joint detection after projected by filter banks and then mitigated through adaptively adjusting the compressed measurement 'away' from the interference positions. The experimental results of the simulated data indicate that the method proposed is effective.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Guojing Li
AU  - Guozhu Liu
AU  - Wei Ye
AU  - Shuya Kong
AU  - Yuan Bo
PY  - 2017/04
DA  - 2017/04
TI  - Wideband Interference Mitigation for Synthetic Aperture Radar Data Based on Adaptive Compressed Sampling
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 1603
EP  - 1606
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.312
DO  - 10.2991/fmsmt-17.2017.312
ID  - Li2017/04
ER  -