Array-broadband effects on direct geolocation algorithm

Abstract

Recent works have introduced powerful 1-step geolocation methods in comparison with traditional, and suboptimal, 2-steps methods. As these 1-step methods directly and simultaneously work on the observations of the whole array, there is now an important issue concerning the possible array-broadband effect. To counteract that effect, the recent methods introduce an imperfect narrowband decomposition, by the way of a filter bank or, equivalently, by a structured multidimensional modelization. The purpose of this work is to study the residual array-broadband effect on the 1-step algorithms performances. The study will compare two 1-step methods by the way of the bias and the ambiguity problem, giving some tools for operational design.