Abstract

A new least-mean-square filter is defined for signal-detection problems. The technique is proposed for scanning IR surveillance systems operating in poorly characterized but primarily low-frequency clutter interference. Near-optimal detection of point-source targets is predicted both for continuous-time and sampled-data systems.

© 1979 Optical Society of America

LMS and matched digital filters for optical clutter suppression

M. S. Longmire and E. H. Takken
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Optical Spatial Filtering with the Least Mean-Square-Error Filter*

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Acoustooptic tunable filter performance in a staring IR sensor

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Spatial filtering design considerations for a line scanning sensor

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