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