Subspace‐based techniques for 2‐d DOA estimation with uniform circular array under local scattering

Abstract In mobile communication systems, local scatterers in the vicinity of the sources cause angular spreading of radiating signals as seen from a base station antenna array. Thus, the base station antenna array is typically situated on the roof of a high building away from potential multipath reflectors. The uniform circular array (UCA) geometry provides 360° azimuthal coverage and also provides information on source elevation angles. We consider the problem of two‐dimensional (azimuth and elevation) direction‐of‐arrival (DOA) estimation with UCA. In the multipath scenario, the base station antenna can receive many coherent signals that cause the array manifold to be different from the conventional array manifold model. Herein, parameters of the spatial signature in the presence of local scattering are presented which apply to UCA. Then, we present a fast searching technique to improve the efficiency of the MUSIC algorithm for two‐dimensional DOA estimation. The fast signal subspace‐based estimation method utilizes the ESPRIT algorithm and then adopts sequential one‐dimensional searching to save computational cost. Several simulation results are included for illustration and comparison.

[1]  Ann‐Chen Chang,et al.  Two‐dimensional adaptive beamforming in DS‐CDMA communication with local scattering channels , 2003 .

[2]  Theodore S. Rappaport,et al.  Overview of spatial channel models for antenna array communication systems , 1998, IEEE Wirel. Commun..

[3]  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,.

[4]  William C. Y. Lee,et al.  Mobile Communications Design Fundamentals: Lee/Mobile , 1993 .

[5]  Thomas Kailath,et al.  ESPRIT-estimation of signal parameters via rotational invariance techniques , 1989, IEEE Trans. Acoust. Speech Signal Process..

[6]  A. Lee Swindlehurst.  DOA identifiability for rotationally invariant arrays , 1992, IEEE Trans. Signal Process..

[7]  Torsten Söderström,et al.  On estimating the noise power in array processing , 1992, Signal Process..

[8]  Björn E. Ottersten,et al.  The effects of local scattering on direction of arrival estimation with MUSIC and ESPRIT , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

[9]  Shahrokh Valaee,et al.  Distributed source localization using ESPRIT algorithm , 2001, IEEE Trans. Signal Process..

[10]  B. Sklar,et al.  Rayleigh fading channels in mobile digital communication systems Part I: Characterization , 1997, IEEE Commun. Mag..

[11]  Bjorn Ottersten,et al.  Generalised array manifold model for wireless communication channels with local scat-tering , 1998 .

[12]  Björn E. Ottersten,et al.  The effects of local scattering on direction of arrival estimation with MUSIC , 1999, IEEE Trans. Signal Process..

[13]  Thomas Kailath,et al.  ESPRIT-A subspace rotation approach to estimation of parameters of cisoids in noise , 1986, IEEE Trans. Acoust. Speech Signal Process..

[14]  Iickho Song,et al.  Uniform circular array in the parameter estimation of coherently distributed sources , 2002, MILCOM 2002. Proceedings.

[15]  J. H. Winters,et al.  Effect of fading correlation on adaptive arrays in digital mobile radio , 1994 .

[16]  Chien-Chung Yeh,et al.  Generalized eigenspace-based beamformers , 1995, IEEE Trans. Signal Process..

[17]  R. O. Schmidt,et al.  Multiple emitter location and signal Parameter estimation , 1986 .

[18]  Steven D. Blostein,et al.  On uplink CDMA cell capacity: mutual coupling and scattering effects on beamforming , 2003, IEEE Trans. Veh. Technol..

[19]  Michael D. Zoltowski,et al.  Eigenstructure techniques for 2-D angle estimation with uniform circular arrays , 1994, IEEE Trans. Signal Process..

[20]  S. Applebaum,et al.  Adaptive arrays with main beam constraints , 1976 .

[21]  Bjorn Ottersten,et al.  Array processing for wireless communications , 1996, Proceedings of 8th Workshop on Statistical Signal and Array Processing.

[22]  Björn E. Ottersten,et al.  The spectrum efficiency of a base station antenna array system for spatially selective transmission , 1994, Proceedings of IEEE Vehicular Technology Conference (VTC).