The performance of the SMI method in the constrained LMS array and the Griffiths array

The sample matrix inversion (SMI) method is applied in the constrained least mean square (LMS) array of the Griffiths (1959) array. The mean square error (MSE) performance measure of the SMI method in both arrays is presented. The total output power (TOP) performance of the SMI method in the constrained LMS array is also presented. In using the SMI method to obtain the MSE and the TOP of the constrained LMS array, the adaptive weight vector is computed based on the estimate of the received signal correlation matrix and the knowledge of the arrival angle of the desired signal. The weight vector of the Griffiths array is also computed, based on the estimate of the correlation matrix and the knowledge of the cross correlation vector between the reference signal and the received signal.<
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