Exploiting cyclostationarity for range and bearing estimation

Authors:
S. Shamsunder
Affiliations:
Dept. of Electr. Eng., Virginia Univ., Charlottesville, VA, USA
Venue:
ICASSP '93 Proceedings of the Acoustics, Speech, and Signal Processing, 1993. ICASSP-93 Vol 4., 1993 IEEE International Conference on - Volume 04
Year:
1993

Citing 2
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Signal Processing
On consistent and asymptotically normal sample estimators for cyclic-moments and cumulants

ICASSP '93 Proceedings of the Acoustics, Speech, and Signal Processing, 1993. ICASSP-93 Vol 4., 1993 IEEE International Conference on - Volume 04

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Abstract

Novel bearing and range estimation algorithms are proposed using cyclostationarity of the underlying processes. By exploiting the higher-order temporal properties of communication signals, direction finding algorithms are proposed for narrowband non-Gaussian signals. These algorithms improve resolution and are tolerant to all Gaussian, as well as some non-Gaussian, interferences. In active radar situations, moving targets reflect signals whose statistics are periodically time-varying. By casting the target tracking problem in the cyclic domain, novel algorithms are developed for estimating the time-varying range; these methods are tolerant to any stationary noise as well as transients.