MIMO field directionality estimation using orientation-diverse linear arrays

This paper addresses the estimation of power versus azimuth and elevation using a sparse sensor array. In MIMO radar, clutter and noise field directionality can be measured both from the transmit array and to the receive array. In applications where sparse arrays must be used, however, often substan...

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Bibliographic Details
Published in2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers pp. 146 - 150
Main Authors Hickman, Granger, Krolik, Jeffrey L
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2009
Subjects
Apertures
Array signal processing
Azimuth
Frequency estimation
Maximum likelihood estimation
MIMO
Radar applications
Radar clutter
Radar measurements
Sensor arrays
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Summary:This paper addresses the estimation of power versus azimuth and elevation using a sparse sensor array. In MIMO radar, clutter and noise field directionality can be measured both from the transmit array and to the receive array. In applications where sparse arrays must be used, however, often substantial ambiguities in the field directionality map occur due to spatial under-sampling and/or sidelobe leakage. In this paper, we propose an alternative field-directionality mapping approach which incoherently combines the outputs of several uniform linear arrays with different orientations. The proposed orientation-diverse multi-line array (ODMA) treats the 1-D field directionality estimate from each line array as a projection of a 2-D spatial spectrum. Two methods for reconstruction from these projections are presented: 1) least-squares estimation subject to a positivity constraint, and 2) maximum likelihood estimation using the EM algorithm. Simulation results suggest both methods achieve ODMA field directionality maps with improved ambiguity resolution and sidelobe performance versus conventional beamforming techniques.
ISBN:1424458250
9781424458257
ISSN:1058-6393
DOI:10.1109/ACSSC.2009.5470146