On improvement of joint estimation of DOA and PPS coefficients impinging on ULA

This paper considers joint estimation of the direction-of-arrival (DOA) and coefficients of polynomial-phase signal (PPS) that impinge an uniform linear sensor array (ULA). Recently introduced method referred to as the polynomial beamformer (PB) being the maximum likelihood estimator for these parameters suffers from high computational complexity due to a multidimensional search. Hence, its applicability is limited only to the second-order PPSs while it is unfeasible for higher-order PPSs as it is heavily reliant on the PPS order. A low complexity estimator that utilizes similar strategy as the PB is proposed in this paper. Statistical study shows that the proposed approach outperforms the state-of-the-art methods in terms of signal-to-noise ratio (SNR) threshold and mean-squared error (MSE).