ABSTRACT
Adaptive beamforming and high-resolution direction finding are two of the most important areas of sensor array processing. The main objective of adaptive beamforming is to detect and estimate the signal-of-interest in the presence of strong interferers by means of data-adaptive spatial filtering and interference rejection, whereas the objective of high-resolution direction finding is to obtain accurate estimates of the source Directions-Of-Arrival (DOAs). This chapter considers robustness issues that emerge in array processing applications to adaptive beamforming and direction finding. It presents an overview of robustness problems in adaptive beamforming and discusses the main ad-hoc robust approaches to this problem. The chapter addresses a recently emerged class of robust adaptive beamformers based on the explicit modelling of arbitrary-type norm-bounded imperfections and worst-case performance optimization. It addresses the robustness issues that are important for high-resolution array processing.
