2D unitary ESPRIT for efficient 2D parameter estimation

Considers multiple narrowband signals that are incident upon a planar sensor array. 2D unitary ESPRIT is a new closed-form high resolution algorithm to provide automatically paired source azimuth and elevation angle estimates along with an efficient way to reconstruct the impinging signals. In the final stage of the algorithm, the real and imaginary parts of the ith eigenvalue of a matrix are one-to-one related to the respective direction cosines of the ith source relative to the two array axes. 2D unitary ESPRIT offers several advantages over other ESPRIT based closed-form 2D angle estimation techniques. First, except for the final eigenvalue decomposition of dimension equal to the number of sources, it is efficiently formulated in terms of real-valued computation throughout. Second, it is amenable to an efficient DFT beamspace implementation. Third, it is also applicable to array configurations that do not exhibit three identical subarrays, as long as the array is centro-symmetric and possesses invariances in two distinct directions. Finally, 2D unitary ESPRIT easily handles sources having one member of the spatial frequency coordinate pair in common.

[1]  Björn E. Ottersten,et al.  Multiple invariance ESPRIT , 1992, IEEE Trans. Signal Process..

[2]  M. P. Clark,et al.  On the performance of several 2-D harmonic retrieval techniques , 1994, Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers.

[3]  Thomas Kailath,et al.  Detection of number of sources via exploitation of centro-symmetry property , 1994, IEEE Trans. Signal Process..

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

[5]  Thomas Kailath,et al.  Beamspace ESPRIT , 1994, IEEE Trans. Signal Process..

[6]  M. Haardt,et al.  Unitary ESPRIT: how to exploit additional information inherent in the relational invariance structure , 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

[7]  Marc Moonen,et al.  An efficient subspace algorithm for 2-D harmonic retrieval , 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

[8]  Louis L. Scharf,et al.  Two-dimensional modal analysis based on maximum likelihood , 1994, IEEE Trans. Signal Process..

[9]  Anna Lee,et al.  Centrohermitian and skew-centrohermitian matrices , 1980 .

[10]  Michael D. Zoltowski,et al.  Sensor array signal processing via a procrustes rotations based eigenanalysis of the ESPRIT data pencil , 1989, IEEE Trans. Acoust. Speech Signal Process..

[11]  Ed F. Deprettere,et al.  Azimuth and elevation computation in high resolution DOA estimation , 1992, IEEE Trans. Signal Process..

[12]  Michael D. Zoltowski,et al.  Closed-form 3D angle estimation with rectangular arrays via DFT Beamspace ESPRIT , 1994, Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers.

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

[14]  Thomas Kailath,et al.  Azimuth/elevation direction finding using regular array geometries , 1992 .