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Proceedings Paper

Near-least-squares radio frequency interference suppression
Author(s): Timothy R. Miller; John W. McCorkle; Lee C. Potter
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Paper Abstract

We present an algorithm for the removal of narrow-band interference from wideband signals. We apply the algorithm to suppress radio frequency interference encountered by ultra- wideband synthetic aperture radar systems used for foliage- and ground-penetrating imaging. For this application, we seek maximal reduction of interference energy, minimal loss and distortion of wideband target responses, and real-time implementation. To balance these competing objectives, we exploit prior information concerning the interference environment in designing an estimate-and-subtract-estimation algorithm. The use of prior knowledge allows fast, near-least-squares estimation of the interference and permits iterative target signature excision in the interference estimation procedure to decrease estimation bias. The results is greater interference suppression, less target signature loss and distortion, and faster computation than is provided by existing techniques.

Paper Details

Date Published: 5 June 1995
PDF: 12 pages
Proc. SPIE 2487, Algorithms for Synthetic Aperture Radar Imagery II, (5 June 1995); doi: 10.1117/12.210865
Show Author Affiliations
Timothy R. Miller, The Ohio State Univ. (United States)
John W. McCorkle, Army Research Lab. (United States)
Lee C. Potter, The Ohio State Univ. (United States)


Published in SPIE Proceedings Vol. 2487:
Algorithms for Synthetic Aperture Radar Imagery II
Dominick A. Giglio, Editor(s)

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