Algorithm for detecting closely spaced delay/Doppler components

Authors

Amir W. Habboosh, Naval Undersea Warfare Center Division Newport
Richard J. Vaccaro, Naval Undersea Warfare Center Division Newport
Steven Kay, University of Rhode Island

Document Type

Conference Proceeding

Date of Original Version

1-1-1997

Abstract

This paper considers a method for estimating time delays, amplitudes, and Doppler scales of a multipath signal. The method is an extension of work previously reported by Manickam and Vaccaro which dealt solely with time delays and amplitudes, and extended by Habboosh and Vaccaro to include Doppler scale. In this paper, an algorithm is presented for determining the size of the indicator set to reduce ill-conditioning of the signal subspace matrix. Simulation results are shown and comparisons to the Cramer-Rao lower bound provided; these results show that significant reduction in estimate variances can be achieved using the deconvolution approach with a properly selected indicator set.

Publication Title, e.g., Journal

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volume

1

Citation/Publisher Attribution

Habboosh, Amir W., Richard J. Vaccaro, and Steven Kay. "Algorithm for detecting closely spaced delay/Doppler components." ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 1, (1997): 535-538. https://digitalcommons.uri.edu/ele_facpubs/1156