Estimation of the spatial and temporal frequencies of multiple sinusoids using a sparse linear array

Donald W. Tufts, Hongya Ge, R. Kumaresan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we extend our previous sparse linear prediction (SLP) method [1,2,3] for two-dimensional (2-D) applications. The temporal and spatial frequencies of multiple sinusoids are simultaneously estimated in pairs, rather than separately, from the outputs of a sparse linear array. Possible ambiguities due to the large interelement spacings can be resolved by properly choosing the interelement spacings and by incorporating different SLP polynomials, the coefficients of which can be calculated in parallel. The temporal and spatial frequencies are simultaneously estimated from the minima of a 2-D objective function, which can be calculated using a 2-D DFT of the properly mapped 2-D SLP coefficient matrix.

Original languageEnglish (US)
Title of host publicationConference Record - 28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994
PublisherIEEE Computer Society
Pages821-825
Number of pages5
ISBN (Electronic)0818664053
DOIs
StatePublished - 1994
Externally publishedYes
Event28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994 - Pacific Grove, United States
Duration: Oct 31 1994Nov 2 1994

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2
ISSN (Print)1058-6393

Conference

Conference28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994
CountryUnited States
CityPacific Grove
Period10/31/9411/2/94

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Networks and Communications

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