Subspace method to estimate parameters of wideband polynomial-phase signals in sensor arrays

Abstract

A novel subspace method for estimating the parameters of wideband polynomial-phase signals (PPSs) in sensor arrays that exploits the characteristics of the high-order instantaneous moment (HIM) to form a model of signals received by an array is presented. The super-resolution and robustness of subspace theory is employed to estimate the direction of arrival (DOA) and coefficients of the Kth-order PPS. This method, which has lower computational complexity than maximum likelihood (ML), can reduce error propagation and provide more precise estimation than conventional high-order ambiguity function (HAF) methods, as demonstrated by simulation results.