Avoiding ambiguity in beamspace processing

Ali Nasiri Amini; Tryphon T. Georgiou

doi:10.1109/LSP.2005.845596

Avoiding ambiguity in beamspace processing

Ali Nasiri Amini, Tryphon T. Georgiou

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

13 Scopus citations

Abstract

In direction finding of narrow-band signals using antenna arrays with a large number of elements, the so-called beamspace matrix is often used to project the measurements into a lower dimension subspace. This reduces computation time and allows for parallel processing. On the other hand, beamspace preprocessing may introduce ambiguity, i.e., spurious estimated directions. We show that when the null space of the beamspace matrix is suitably designed, ambiguity within any sector of interest can be avoided.

Original language	English (US)
Pages (from-to)	372-375
Number of pages	4
Journal	IEEE Signal Processing Letters
Volume	12
Issue number	5
DOIs	https://doi.org/10.1109/LSP.2005.845596
State	Published - May 2005

Bibliographical note

Funding Information:
Manuscript received August 30, 2004; revised December 10, 2004. This work was supported in part by the National Science Foundation and the Air Force Office of Scientific Research. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Dimitri Van De Ville.

Keywords

Antenna arrays
Direction of arrival (DOA) estimation
Spectral analysis

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N2 - In direction finding of narrow-band signals using antenna arrays with a large number of elements, the so-called beamspace matrix is often used to project the measurements into a lower dimension subspace. This reduces computation time and allows for parallel processing. On the other hand, beamspace preprocessing may introduce ambiguity, i.e., spurious estimated directions. We show that when the null space of the beamspace matrix is suitably designed, ambiguity within any sector of interest can be avoided.

AB - In direction finding of narrow-band signals using antenna arrays with a large number of elements, the so-called beamspace matrix is often used to project the measurements into a lower dimension subspace. This reduces computation time and allows for parallel processing. On the other hand, beamspace preprocessing may introduce ambiguity, i.e., spurious estimated directions. We show that when the null space of the beamspace matrix is suitably designed, ambiguity within any sector of interest can be avoided.

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KW - Spectral analysis

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Avoiding ambiguity in beamspace processing

Abstract

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