TY - JOUR
T1 - Resolving ambiguities in estimating spatial frequencies in sparse linear array
AU - Tufts, Donald W.
AU - Ge, Hongya
AU - Kumaresan, Ramdas
N1 - Funding Information:
This work was supported in part by the Air Force Office of Scientific Research under contract AFOSR F49620-93-1-0026
Publisher Copyright:
© 1994 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 1994
Y1 - 1994
N2 - 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.
AB - 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.
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U2 - 10.1109/ICASSP.1994.389649
DO - 10.1109/ICASSP.1994.389649
M3 - Conference article
AN - SCOPUS:85079285085
VL - 2
SP - II345-II348
JO - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
JF - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
SN - 0736-7791
M1 - 389649
T2 - Proceedings of the 1994 IEEE International Conference on Acoustics, Speech and Signal Processing. Part 2 (of 6)
Y2 - 19 April 1994 through 22 April 1994
ER -