A New Method for Estimating the Direction-of-Arrival Waves by an Iterative Subspace-Based Method
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A New Method for Estimating the Direction-of-Arrival Waves by an Iterative Subspace-Based MethodAbstract
In this paper, a new subspace-based method for high-resolution direction-of-arrival (DOA) estimation of multiple plane waves in a noisy environment is proposed. This method called Iterative-Subspace-Decomposition (ISD) involves an iterative decomposition into two blocks of the matrices corresponding to the noise and the source subspaces. The proposed algorithm provides enhanced estimation performance of the DOA. It also significantly improves the resolution capability with respect to existing algorithms. The method can be applied to low signal-to-noise ratio (SNR) environment and is suitable for arrays with arbitrary sensor geometries, including linear arrays. Several numerical simulations are presented to assess the proposed method enhanced performance in comparison to that obtained by some classical algorithms. This comparative study has shown that the ISD leads to a significant reduction in the Root Mean Square Errors (RMSE) and resolution rate capabilities of the DOA estimates. As though, it is shown that the ISD method is superior in resolving closely spaced signals with a small number of snapshots and at low SNR.
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References
H. Krim and M. Viberg, “Two decades of
array signal processing research,” IEEE
Signal Processing Mag., vol. 13, pp. 67-94,
Jul. 1996.
D. F. Breslin, “Adaptive Antenna Arrays
Applied to Position Location,” MASTER OF
SCIENCE in the Bradley Department of
Electrical and Computer Engineering,
August 1997.
M. Viberg, B. Otterstem, and T. Kailath,
“Detection and estimation in sensor array
using weighted subspace fitting,” IEEE
Trans. Signal Process., vol. 39, no. 11, pp.
-2449, November 1991.
O. R. Schmit, “Multiple Emitter Location and
Signal Parameters Estimation,” IEEE Trans.
on Antennas and Propagation, vol. 34, pp.
-280, March 1986.
R. Roy and T. Kailath, “ESPRITEstimation
of signal parameters via rotational invariance
technique,” IEEE Trans. Acoust., Speech
Signal Process, vol. 37, no. 7, pp. 984-995,
July 1989.
J. Xin and A. Sano, “Computationally
Efficient Subspace-Based Method for
Direction-of-Arrival Estimation Without
Eigendecomposition,” IEEE, Trans. on Signal
Processing, vol. 52, no. 4, April 2004.
F. Castanie, “Estimateurs fondés sur les
sous-espaces,” chapitre du livre, Analyse
spectrale, Traité IC2, Editions HERMES,
S. Marcos, A. Marsal, and M. Benidir, “The
propagator method for source bearing
CHANGUEL, CHANGUEL, GHARSALLAH: ESTIMATING THE DIRECTION-OF-ARRIVAL BY ITERATIVE SUBSPACE-BASED METHOD
estimation,” Signal Process., vol. 42, no. 2,
pp. 121-138, 1995.
P. Stoica and R. Moses, “Introduction to
spectral analysis,” Prentice Hall Inc., 1997.
B. D. Rao and K. V. S. Hari, “Performance
analysis of Root-MUSIC,” IEEE Trans.
Signal Processing, vol. 37, pp. 1939-1949,
A. Olfat and S. N-Esfahani, “A new signal
subspace processing for DOA estimation,”
ELSEVIER Signal Processing, vol. 84, pp.
-728, November 2003.
