An algorithm for the calibration of sensor arrays with sensor gain and phase uncertainties
ICASSP '93 Proceedings of the Acoustics, Speech, and Signal Processing, 1993. ICASSP-93 Vol 4., 1993 IEEE International Conference on - Volume 04
Shape calibration for a nominally linear equispaced array
ICASSP '93 Proceedings of the Acoustics, Speech, and Signal Processing, 1993. ICASSP-93 Vol 4., 1993 IEEE International Conference on - Volume 04
Sensitivity and robustness of eigendecomposition-based detectors
ICASSP '93 Proceedings of the Acoustics, Speech, and Signal Processing, 1993. ICASSP-93 Vol 4., 1993 IEEE International Conference on - Volume 04
Experimental antenna array calibration with artificial neural networks
Signal Processing
Multisource self-calibration for sensor arrays
IEEE Transactions on Signal Processing
A neural structure for direction finding with sensor array uncertainties
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: plenary, special, audio, underwater acoustics, VLSI, neural networks - Volume I
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In sensor array processing, high-resolution eigenbased direction-finding algorithms are known to be sensitive to sensor gain, phase, and mutual coupling errors. In order to approach the algorithms' theoretical direction-finding performance in actual arrays, methods are required to measure these errors and compensate for them. The authors develop calibration procedures based on least squares fitting of known measured direction vectors. After calibration any appropriate direction-finding algorithm may be applied. Experimental results from an ultrasonic array testbed demonstrate the performance of the calibration algorithms. A previously proposed autocalibration algorithm is discussed. The algorithm is shown to give nonunique solutions for linear arrays.