Analysis of robust time-delay based angle-of-arrival estimation methods

The use of small sensor arrays in modern signal processing systems has recently become more common due to the increase in computational processing power and growing interest in intelligent sensing and surveillance. In this paper we address the analysis of robust time-delay based angle-of-arrival (AOA) estimation methods. It is often difficult to compare different robust methods using analytical measures. This is because the robustness of the algorithms is usually achieved by applying some nonlinear signal processing methods. Thus, another approach is proposed which is based on the distributions of the error in the AOA estimate given the distribution of the time-delay-estimates (TDE).