On the Application of Circular Arrays in Direction Finding Part I: Investigation into the estimation algorithms

The performance of different direction finding algorithms for the circular arrays is investigated in this paper. Several direction estimation algorithms are studied with their pros and cons discussed. Special consideration is given to the necessary conditions needed prior to applying the algorithms in order to guarantee high accuracy in the field. Their performance is evaluated based on a simplified data model with some further assumptions, and followed by a top level comparison between each of the algorithms. The on-going research shows that the performance of the SAGE is superior to any of the other algorithms considered here when applied to a circular array.

[1]  Michael D. Zoltowski,et al.  Performance analysis of the UCA-ESPRIT algorithm for circular ring arrays , 1994, IEEE Trans. Signal Process..

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

[3]  Mati Wax,et al.  Direction finding of coherent signals via spatial smoothing for uniform circular arrays , 1994 .

[4]  Michael Dean,et al.  FDTD analysis and design of probe‐fed dual‐polarized circular stacked patch antenna * , 2001 .

[5]  Ehud Weinstein,et al.  Parameter estimation of superimposed signals using the EM algorithm , 1988, IEEE Trans. Acoust. Speech Signal Process..

[6]  Andreas F. Molisch,et al.  The double-directional radio channel , 2001 .

[7]  Klaus I. Pedersen,et al.  Channel parameter estimation in mobile radio environments using the SAGE algorithm , 1999, IEEE J. Sel. Areas Commun..

[8]  Gerd Sommerkorn,et al.  Identification of time-variant directional mobile radio channels , 2000, IEEE Trans. Instrum. Meas..

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

[10]  Axel Schneider,et al.  Reduction of DoA Estimation Errors Caused by Antenna Array Imperfections , 1999, 1999 29th European Microwave Conference.

[11]  Kimmo Kalliola Experimental analysis of multidimensional radio channels , 2002 .

[12]  J. Capon High-resolution frequency-wavenumber spectrum analysis , 1969 .

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

[14]  W. Wiesbeck,et al.  A biconical multibeam antenna for space-division multiple access , 1998 .

[15]  Chia-Chin Chong,et al.  Joint detection-estimation of directional channel parameters using the 2-D frequency domain SAGE algorithm with serial interference cancellation , 2002, 2002 IEEE International Conference on Communications. Conference Proceedings. ICC 2002 (Cat. No.02CH37333).

[16]  D.E.N. Davies,et al.  A transformation between the phasing techniques required for linear and circular aerial arrays , 1965 .

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

[18]  Josef A. Nossek,et al.  Unitary ESPRIT: how to obtain increased estimation accuracy with a reduced computational burden , 1995, IEEE Trans. Signal Process..

[19]  Circular to linear array mapping using calibration data , 2000 .

[20]  J. Litva,et al.  MUSIC and maximum likelihood techniques on two-dimensional DOA estimation with uniform circular array , 1995 .

[21]  Thomas Kailath,et al.  On spatial smoothing for direction-of-arrival estimation of coherent signals , 1985, IEEE Trans. Acoust. Speech Signal Process..