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A new approach to near optimum MTI filter design using adaptive techniques

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1 Author(s)
Zhang, Q. ; Commun. Res. Lab., McMaster Univ., Hamilton, Ont., Canada

Presents a new approach to a near optimum MTI filter design using adaptive techniques. The resulting scheme consists of an adaptive whitening filter for radar clutter followed by a likelihood ratio test (LRT) for target signal in white noise. A complete procedure is developed for the whitening filter design. The LRT may operate either with or without a clutter power map. The detection performance of the new scheme is evaluated using real radar data. When operating with a clutter map, it provides 7.5 dB average performance improvement over the innovations-based detection algorithm (IBDA) for ground clutter-dominated data and 5 dB improvement for weather clutter. And the latter has been demonstrated to be superior to the classical moving-target-detection (MTD) by 3 to 5 dB

Published in:

Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on

Date of Conference:

11-14 Apr 1988

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