Closed-form eigenstructure-based direction finding using arbitrary but identical subarrays on a sparse uniform Cartesian array grid

Michael D. Zoltowski; Kainam Thomas Wong

doi:10.1109/78.852001

Closed-form eigenstructure-based direction finding using arbitrary but identical subarrays on a sparse uniform Cartesian array grid

Michael D. Zoltowski, Kainam Thomas Wong

Research output: Journal article publication › Journal article › Academic research › peer-review

210 Citations (Scopus)

Abstract

A sparse uniform Cartesian-grid array suffers cyclic ambiguity in its Cartesian direction-cosine estimates due to the spatial Nyquist sampling theorem. The proposed MUSIC-based or MODE-based algorithm improves and generalizes previous disambiguation schemes that populate the thin array grid with identical subarrays - such as electromagnetic vector sensors, underwater acoustic vector hydrophones, or half-wavelength spaced subarrays.

Original language	English
Pages (from-to)	2205-2210
Number of pages	6
Journal	IEEE Transactions on Signal Processing
Volume	48
Issue number	8
DOIs	https://doi.org/10.1109/78.852001
Publication status	Published - 1 Aug 2000
Externally published	Yes

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering

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10.1109/78.852001

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abstract = "A sparse uniform Cartesian-grid array suffers cyclic ambiguity in its Cartesian direction-cosine estimates due to the spatial Nyquist sampling theorem. The proposed MUSIC-based or MODE-based algorithm improves and generalizes previous disambiguation schemes that populate the thin array grid with identical subarrays - such as electromagnetic vector sensors, underwater acoustic vector hydrophones, or half-wavelength spaced subarrays.",

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Closed-form eigenstructure-based direction finding using arbitrary but identical subarrays on a sparse uniform Cartesian array grid

Abstract

ASJC Scopus subject areas

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