Adaptive Processing of Matched Filter Output Signals in Antenna Array

An Adaptive Antenna Array (AAA) is presented in this paper. The least squares criterion adaptive algorithms are used for the array weights calculation. The informational signal of the AAA is a periodic pseudo random sequence, which is hidden by the noise of the array channels. Such sequences are often used in modern radar, navigation and communication systems. The Matched Filters (MF) or the correlators are used for the processing of the AAA channel signals and this enables the usage of the adaptive algorithms based on the least squares criterion. The output signals of the MF are the cross-correlation functions of the AAA channel signals and the pseudo random sequence. The AAA weights calculation algorithm processes the periodic samples of the maximal values of the MF output signals and processes the error signal between the output and desired signals of the array. The desired signal is also composed using the samples of the maximal values of the auto-correlation function of the pseudo random sequence. The calculation of the AAA weights is provided by the Matrix Inversion Lemma Recursive Least Squares algorithm and its two computationally efficient modifications. The simulation demonstrates that the AAA can suppress the interfering signals and can track the informational signal source angular location simultaneously even if the location is initially unknown. This allows to use the AAA for the signal receiving from a moving source in the presence of the interfering signals.