Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
The propagator method for source bearing estimation
Signal Processing
Modeling and estimation of mutual coupling in a uniform linear array of dipoles
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 05
Autocalibration algorithm for mutual coupling of planar array
Signal Processing
Direction finding in partly calibrated sensor arrays composed of multiple subarrays
IEEE Transactions on Signal Processing
Applications of cumulants to array processing .I. Apertureextension and array calibration
IEEE Transactions on Signal Processing
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For two-dimensional (2-D) directions-of-arrival (DOA) estimation problem, both the mutual coupling and the failure in pairing can cause severe performance degradation. In this paper, a new elevation and azimuth direction finding algorithm is developed to overcome the above-mentioned two difficulties in the L-shaped array configuration. The key points of this paper are: (i) constructing several correlation matrices to blindly compensate the effect of unknown mutual coupling using the outputs of properly chosen sensors and (ii) deriving a rank-reduction propagator method to estimate elevation and azimuth angles so as to avoid pairing parameters. Simulation results are presented to validate the performance of the proposed method.