Resolving ambiguities in estimating spatial frequencies in sparse linear array
Document Type
Conference Proceeding
Date of Original Version
1-1-1994
Abstract
We extend our previous work on ambiguity resolution in sparse linear prediction to array signal processing. A non-uniformly spaced linear array with minimum number of sensors is introduced in order to obtain high resolution spatial frequency estimates at reduced computation and at minimum hardware cost. By properly choosing inter-element spacing, combining and processing subarray outputs in parallel, a computationally simple algorithm is proposed for unambiguously estimating spatial frequencies of the source signals.
Publication Title, e.g., Journal
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume
2
Citation/Publisher Attribution
Tufts, Donald W., Hongya Ge, and Ramdas Kumaresan. "Resolving ambiguities in estimating spatial frequencies in sparse linear array." ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 2, (1994): II345-II348. doi: 10.1109/ICASSP.1994.389649.