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...Show MoreMetadata
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.
Published in: IEEE Transactions on Signal Processing ( Volume: 48, Issue: 8, August 2000)
DOI: 10.1109/78.852001
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1.
R. O. Schmidt, "Multiple emitter location and signal parameter estimation", IEEE Trans. Antennas Propagat., vol. AP-34, pp. 276-280, Mar. 1986.
2.
R. Roy and T. Kailath, "ESPRIT-estimation of signal parameters via rotational invariance techniques", IEEE Trans. Acoust. Speech Signal Processing, vol. 37, pp. 984-995, July 1989.
3.
P. Stoica and K. C. Sharman, "Maximum likelihood methods for direction-of-arrival estimation", IEEE Trans. Acoust. Speech Signal Processing, vol. 38, pp. 1132-1143, July 1990.
4.
M. D. Zoltowski and K. T. Wong, "ESPRIT-based 2-D direction-finding with a sparse uniform array of electromagnetic vector-sensors", IEEE Trans. Signal Processing, vol. 48, pp. 2195-2204, Aug. 2000.
5.
K. T. Wong and M. D. Zoltowski, "Extended-aperture underwater acoustic multi-source azimuth/elevation direction-finding using uniformly but sparsely spaced vector-hydrophones", IEEE J. Oceanic Eng., vol. 22, pp. 659-672, Oct. 1997.
6.
K. T. Wong and M. D. Zoltowski, "Direction finding with sparse rectangular dual-size spatial invariance array", IEEE Trans. Aerosp. Electron. Syst., vol. 34, pp. 1320-1327, Oct. 1998.
7.
K. T. Wong, Proc. IEEE Int. Conf. Circuits Syst., vol. 3, pp. 170-174, 1999.
