Beamspace PM-Root-MUSIC for Uniform Circular Array Based on MST

In this paper, we developed a novel version of PM-Root-MUSIC algorithm for uniform circular array (UCA) in order to avoid the performance degradation of DOA estimation when the number of elements in UCA is small. Based on the manifold separation technique (MST) and propagator method (PM), a beamspace DOA estimation algorithm for UCA was proposed. This method requires no eigen-decomposition calculation, therefore reduce the computational load significantly, and provide close to CRB performance even applied to UCA with limited number of elements.

[1]  Miriam A. Doron,et al.  Wavefield modeling and array processing .I. Spatial sampling , 1994, IEEE Trans. Signal Process..

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

[3]  Visa Koivunen,et al.  Beamspace Transform for UCA: Error Analysis and Bias Reduction , 2006, IEEE Transactions on Signal Processing.

[4]  Visa Koivunen,et al.  DoA Estimation Via Manifold Separation for Arbitrary Array Structures , 2007, IEEE Transactions on Signal Processing.

[5]  Hendrik Rogier,et al.  UCA Root-MUSIC With Sparse Uniform Circular Arrays , 2008, IEEE Transactions on Signal Processing.

[6]  Jianjiang Zhou,et al.  2-D DOA Estimation for Uniform Circular Arrays with PM , 2006, 2006 7th International Symposium on Antennas, Propagation & EM Theory.

[7]  A. D. Olver,et al.  The Handbook of Antenna Design , 1986 .

[8]  Messaoud Benidir,et al.  The propagator method for source bearing estimation , 1995, Signal Process..

[9]  Visa Koivunen,et al.  Extension of root-MUSIC to non-ULA Array Configurations , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.