| 摘 要： | This paper describes a new method of adaptive array processing for signals of unknown frequencycharacteristics.Under practical circumstances,it is easier to obtain the estimation of the power spec-trum in the observed direction than to obtain that of the frequency characteristics.Thus the maximumentropy spectral analysis can be used to incorporate with the adaptive array processing. In this paper the autocorrelation function is calculated from the power spectrum and the predictedcoefficients of MEM(maximum entropy method)can be obtained by solving the normal equation of thecorrelation matrix,and the predicted coefficients are used as the constrained conditions of the algorithmfor adaptive array processing. The above method is further extended and an adaptive array processor is presented for the moregeneral cases,in which the signal characteristics in the observed direction are completely unknown.Firstly the space filtering of the adaptive array is performed by the all-pass constrained conditions inthe fr
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