Resolving ambiguities in estimating spatial frequencies in sparse linear array

Author

Tufts, Donald W. ; Ge, Hongya ; Umaresan, Ramdas H.

Author_Institution

Dept. of Electr. Eng., Rhode Island Univ., Kingston, RI, USA

Volume

ii

fYear

1994

fDate

19-22 Apr 1994

Abstract

The authors extend 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

Keywords

array signal processing; computational complexity; frequency estimation; ambiguities resolution; array signal processing; combining; computationally simple algorithm; interelement spacing; nonuniformly spaced linear array; processing subarray outputs; source signals; sparse linear array; spatial frequencies estimation; Array signal processing; Concurrent computing; Costs; Frequency estimation; Hardware; Sensor arrays; Signal processing; Signal processing algorithms; Signal resolution; Spatial resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on

Conference_Location

Adelaide, SA

ISSN

1520-6149

Print_ISBN

0-7803-1775-0

Type

conf

DOI

10.1109/ICASSP.1994.389649

Filename

389649