Algorithm for detecting closely spaced delay/Doppler components
Date of Original Version
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
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