Independent component analysis for underwater lidar clutter rejection

David W. Illig; William D. Jemison; Linda J. Mullen

doi:10.1117/12.2222817

17 May 2016 Independent component analysis for underwater lidar clutter rejection

David W. Illig, William D. Jemison, Linda J. Mullen

Proceedings Volume 9827, Ocean Sensing and Monitoring VIII; 98270J (2016) https://doi.org/10.1117/12.2222817
Event: SPIE Defense + Security, 2016, Baltimore, MD, United States

Abstract

This work demonstrates a new statistical approach towards backscatter “clutter” rejection for continuous-wave underwater lidar systems: independent component analysis. Independent component analysis is a statistical signal processing technique which can separate a return of interest from clutter in a statistical domain. After highlighting the statistical processing concepts, we demonstrate that underwater lidar target and backscatter returns have very different distributions, facilitating their separation in a statistical domain. Example profiles are provided showing the results of this separation, and ranging experiment results are presented. In the ranging experiment, performance is compared to a more conventional frequency-domain filtering approach. Target tracking is maintained to 14.5 attenuation lengths in the laboratory test tank environment, a 2.5 attenuation length improvement over the baseline.

Citation Download Citation

David W. Illig, William D. Jemison, and Linda J. Mullen "Independent component analysis for underwater lidar clutter rejection", Proc. SPIE 9827, Ocean Sensing and Monitoring VIII, 98270J (17 May 2016); https://doi.org/10.1117/12.2222817

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