Eigenstructure methods for direction finding with sensor gain and phase uncertainties
Circuits, Systems, and Signal Processing
Experimental performance of calibration and direction-finding algorithms
ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
IEEE Transactions on Signal Processing
Experimental antenna array calibration with artificial neural networks
Signal Processing
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A powerful, efficient non-iterative array calibration algorithm is presented. The algorithm determines the gain and phase compensation for translational invariant, particularly linear uniform arrays which are the basis for many efficient array processing algorithms. Starting with N measurements of the desired M-element array scan range, the algorithm computes just 2M weighted scalar products of N-element vectors and solves a (M-2)*(M-2) tridiagonal system of normal equations. An exact knowledge of the source position is not necessary. The algorithm also compensates for angle dependent model deviations like near field effects or element pattern mismatch in a least squares sense within the scan range.