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Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers (1994)
Pacific Grove, CA, USA
Oct. 31, 1994 to Nov. 2, 1994
ISSN: 1058-6393
ISBN: 0-8186-6405-3
pp: 821-825
D.W. Tufts , Dept. of Electr. Eng., Rhode Island Univ., Kingston, RI, USA
Hongya Ge , Dept. of Electr. Eng., Rhode Island Univ., Kingston, RI, USA
R. Kumaresan , Dept. of Electr. Eng., Rhode Island Univ., Kingston, RI, USA
ABSTRACT
In this paper, we extend our previous sparse linear prediction (SLP) method 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.<>
INDEX TERMS
frequency estimation, polynomials, discrete Fourier transforms, array signal processing, prediction theory
CITATION

D. Tufts, Hongya Ge and R. Kumaresan, "Estimation of the spatial and temporal frequencies of multiple sinusoids using a sparse linear array," Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers(ACSSC), Pacific Grove, CA, USA, 1995, pp. 821-825.
doi:10.1109/ACSSC.1994.471576
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