Adaptive filter theory (3rd ed.)
Adaptive filter theory (3rd ed.)
Neural network design
Applications of Neural Networks in Electromagnetics
Applications of Neural Networks in Electromagnetics
Experimental performance of calibration and direction-finding algorithms
ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
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
Maximum likelihood technique to quadrature parameter estimation
ICASSP '94 Proceedings of the Acoustics, Speech, and Signal Processing,1994. on IEEE International Conference - Volume 04
Neural Networks: A Comprehensive Foundation (3rd Edition)
Neural Networks: A Comprehensive Foundation (3rd Edition)
Estimation of sensor gain and phase
IEEE Transactions on Signal Processing
A critical study of a self-calibrating direction-finding method forarrays
IEEE Transactions on Signal Processing
Quadrature receiver mismatch calibration
IEEE Transactions on Signal Processing
Joint DOA estimation and phase calibration of linear equispaced(LES) arrays
IEEE Transactions on Signal Processing
Steering vector estimation in uncalibrated arrays
IEEE Transactions on Signal Processing
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It is well known that to perform accurate Direction of Arrivals (DOA) estimation using algorithms like MUSIC (MUltiple SIgnals Classification), antenna array data must be calibrated to match the theoretical model upon which DOA algorithms are based. This paper presents experimental measurements from independent sources obtained with a linear antenna array and proposes a novel calibration technique based on artificial neural networks trained with experimental and theoretical steering vectors. In this context, the performance of 3 types of neural networks-ADAptive LInear Neuron (ADALINE) network, Multilayer Perceptrons (MLP) network and Radial Basis Functions (RBF) network-is assessed. This is then compared with other calibration techniques, thus demonstrating that the proposed technique works well while being very simple to implement. The presented results cover operation with a single signal source and with two uncorrelated sources. The proposed method is applicable to arbitrary array topologies, but is presented herein in conjunction with a uniform linear array (ULA).