Adaptive Ozturk-based receivers for small signal detection in impulsive non-Gaussian clutter

Dennis L. Stadelman; Andrew D. Keckler; Donald D. Weiner

doi:10.1117/12.364019

4 October 1999 Adaptive Ozturk-based receivers for small signal detection in impulsive non-Gaussian clutter

Dennis L. Stadelman, Andrew D. Keckler, Donald D. Weiner

Proceedings Volume 3809, Signal and Data Processing of Small Targets 1999; (1999) https://doi.org/10.1117/12.364019
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

Abstract

Gaussian receivers perform poorly in detecting small targets in non-Gaussian clutter, but significant improvement is available by using an appropriate non-Gaussian receiver. Selection of the proper receiver requires an adequate characterization of the unknown probability density function (PDF) of the clutter. In applications where the clutter environment changes and a limited number of homogeneous samples are available to approximate the PDF, an efficient algorithm is essential. The Oeztuerk PDF approximation algorithm satisfies this requirement, needing on the order of 100 samples from the PDF to be approximated.

Citation Download Citation

Dennis L. Stadelman, Andrew D. Keckler, and Donald D. Weiner "Adaptive Ozturk-based receivers for small signal detection in impulsive non-Gaussian clutter", Proc. SPIE 3809, Signal and Data Processing of Small Targets 1999, (4 October 1999); https://doi.org/10.1117/12.364019

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