Joint transmit and receive beampattern optimization and adaptive implementation

We consider joint adaptive transmit(TX) and receive (RX) beamforming for interference mitigation in array sensing systems. Unlike conventional designs, which only employ adaptive processing for the RX beamforming, we propose a fully adaptive approach that jointly selects the transmit correlation matrix and RX beamformer by maximizing the signal-to-interference-plus-noise ratio (SINR). Due to imprecise knowledge of the interference (e.g., because of limited training data), employing only adaptive RX beamforming may be inadequate for effective interference cancellation, whereas joint adaptive transmit and RX beamforming can afford a stronger ability to handle the interference. Numerical examples are presented to evaluate the performance of the proposed joint beamforming approach.