Determination of the Efficient Number of Interferefnce Sources in the Problem of Adaptive Estimation of Temporal Waveforms of Narrow-Band Signals Using Antenna Arrays

We consider the problem of estimating temporal waveforms of the signals, which are generated by a spatially distributed set of sources, by using antenna arrays. To solve this problem, we employ the method of estimating signal parameters, which was proposed earlier and is based on maximization of the likelihood function, in which the interference correlation matrix is represented as a rank-deficient matrix. An algorithm for estimation of the efficient number of interference sources has been developed for application of this method. The results of application of the method are compared with the results obtained using the Akaike information criterion and the principle of minimum description length, as well as the earlier proposed method based on maximization of the signal-to-noise ratio.