2-D DOA estimating of multipath signals by exploitation of cyclostationarity

In most wireless communication systems, two-dimensional directions of arrival (DOA) of multipath signals need to be found for spatial selective transmission. In this paper, we propose a new algorithm to estimate 2-D DOA of multiple narrow-band signals. A DOA cyclic matrix is constructed whose eigenvalues and eigenvectors can be simultaneously used to extract 2-D DOA without 2-D searches. By exploiting the temporal property of cyclostationarity, the signal detection capability is significantly improves. Besides, based on the decorrelation model for mobile terminal signals, the algorithm can be effectively extended to the coherent case without spatial smoothing and the loss of array aperture. Simulation results are given to illustrate the performance of the new algorithm.

[1]  Thomas Kailath,et al.  Direction-of-arrival estimation via exploitation of cyclostationary-a combination of temporal and spatial processing , 1992, IEEE Trans. Signal Process..

[2]  S. Unnikrishna Pillai,et al.  Forward/backward spatial smoothing techniques for coherent signal identification , 1989, IEEE Trans. Acoust. Speech Signal Process..

[3]  William A. Gardner,et al.  Simplification of MUSIC and ESPRIT by exploitation of cyclostationarity , 1988, Proc. IEEE.

[4]  Qinye Yin,et al.  A new model for the DOA estimation of the coherent signals , 1998, ISCAS '98. Proceedings of the 1998 IEEE International Symposium on Circuits and Systems (Cat. No.98CH36187).

[5]  Robert W. Newcomb,et al.  Estimating 2-D angles of arrival via two parallel linear arrays , 1989, International Conference on Acoustics, Speech, and Signal Processing,.

[6]  Hsin-Piao Lin,et al.  Multipath direction finding with subspace smoothing , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.