Performance analysis of the VIA-ESPRIT algorithm
Performance analysis of the VIA-ESPRIT algorithm
- Author(s): M. Gavish and A.J. Weiss
- DOI: 10.1049/ip-f-2.1993.0017
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- Author(s): M. Gavish 1 and A.J. Weiss 2
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View affiliations
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Affiliations:
1: Communication Systems Division, ELTA Electronics Industries Ltd., Ashdod, Israel
2: Department of Electronic Systems, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel
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Affiliations:
1: Communication Systems Division, ELTA Electronics Industries Ltd., Ashdod, Israel
- Source:
Volume 140, Issue 2,
April 1993,
p.
123 – 128
DOI: 10.1049/ip-f-2.1993.0017 , Print ISSN 0956-375X, Online ISSN 2053-9045
The VIA-ESPRIT algorithm is a computationally efficient method for direction of arrival (DOA) estimation. This algorithm uses virtual interpolated arrays (VIA) to apply ESPRIT type techniques to arbitrary array geometries. This paper presents a performance analysis of VIA-ESPRIT. Expressions for the bias and the variance of the estimation errors are derived. Simulation results verify the theoretically predicted performance.
Inspec keywords: matrix algebra; interpolation; array signal processing; estimation theory
Other keywords:
Subjects: Interpolation and function approximation (numerical analysis); Algebra; Signal processing and detection
References
-
-
1)
- Fu, Li, Vaccaro, J., Tufts, D.N.: `Unified performance analysis of subspace-based estimation algorithms', Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing, April 1990, Albuquerque, New Mexico, p. 2575–2578.
-
2)
- M.D. Zoltowski , D. Stavrinides . Sensor array signal processing via a procrustes rotations based eigenanalysis of the ESPRIT data pencil. IEEE Trans. , 832 - 861
-
3)
- A.J. Weiss , M. Gavish . Direction finding using ESPRIT with interpolated arrays. IEEE Trans. , 6 , 1473 - 1478
-
4)
- R. Roy , A. Paulraj , T. Kailath . ESPRIT — A sub-space rotation approach to estimation of parameters of cisoids in noise. IEEE Trans. , 1340 - 1342
-
5)
- B. Friedlander , A.J. Weiss . , Direction finding for correlated signals using spatial smoothing with interpolated arrays.
-
6)
- R. Roy , T. Kailath . ESPRIT — Estimation of signal parameters via rotational invariance techniques. IEEE Trans. , 984 - 995
-
7)
- D.R. Brillinger . (1981) , Time series: data analysis and theory.
-
8)
- B.D. Rao , V.S. Hari . Performance analysis of ESPRIT and TAM in determining the direction of arrival of plane waves in noise. IEEE Trans. , 12 , 1990 - 1995
-
9)
- B. Friedlander . , The interpolated root-MUSIC algorithm.
-
10)
- Friedlander, B.: `Direction finding with an interpolated array', Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing, April 1990, Albuquerque, New Mexico, p. 2951–2954.
-
11)
- Weiss, A.J., Gavish, M.: `The interpolated ESPRIT algorithm', Proc. IEEE Int. Conf. Acoust. Speech, Signal Processing, May 1991, Toronto, p. 3725–3728.
-
12)
- A. Paulraj , R. Roy , T. Kailath . A subspace rotation approach to signal parameter estimation. Proc. IEEE , 7 , 1044 - 1045
-
13)
- Weiss, A.J., Friedlander, B.: `Performance analysis of spatial smoothing with interpolated arrays', Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing, May 1991, Toronto, p. 1377–1380.
-
14)
- Hua, Y., Sarkar, T.K.: `Matrix pencil method and its applications', Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing, April 1988, New York, p. 2476–2479.
-
1)