Resolving ambiguities in estimating spatial frequencies in sparse linear array

Donald W. Tufts, Hongya Ge, Ramdas Kumaresan

Research output: Contribution to journalConference articlepeer-review

13 Scopus citations

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.

Original languageEnglish (US)
Article number389649
Pages (from-to)II345-II348
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2
DOIs
StatePublished - 1994
Externally publishedYes
EventProceedings of the 1994 IEEE International Conference on Acoustics, Speech and Signal Processing. Part 2 (of 6) - Adelaide, Aust
Duration: Apr 19 1994Apr 22 1994

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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