Adaptive array processing using predicted coefficients as constrained conditions

This paper describes a new method of adaptive array processing for the unknown frequency characteristics. In the practical situations, it is easy to obtain the estimation of the power spectrum in the observed direction instead of the frequency characteristics. Then the maximum entropy spectral analysis can be incorperated with the adaptive array processing. The predicted coefficients of MESA can be obtained. The predicted coefficients can be used as the constrained conditions of the algorithm for the adaptive array processing. In this paper the above method is further expanded and the adaptive array processor is presented for the more general cases, in which the signal characteristics in the observed direction are completely unknown. A series of computer simulation experiments have been conducted.