DOA-Estimation based on a Complex Watson Kernel Method Drude, Lukas Jacob, Florian Haeb-Umbach, Reinhold This contribution presents a Direction of Arrival (DoA) estimation algorithm based on the complex Watson distribution to incorporate both phase and level differences of captured micro- phone array signals. The derived algorithm is reviewed in the context of the Generalized State Coherence Transform (GSCT) on the one hand and a kernel density estimation method on the other hand. A thorough simulative evaluation yields insight into parameter selection and provides details on the performance for both directional and omni-directional microphones. A comparison to the well known Steered Response Power with Phase Transform (SRP-PHAT) algorithm and a state of the art DoA estimator which explicitly accounts for aliasing, shows in particular the advantages of presented algorithm if inter-sensor level differences are indicative of the DoA, as with directional microphones. 2015 info:eu-repo/semantics/conferenceObject doc-type:conferenceObject text http://purl.org/coar/resource_type/c_5794 https://ris.uni-paderborn.de/record/11755 Drude L, Jacob F, Haeb-Umbach R. DOA-Estimation based on a Complex Watson Kernel Method. In: <i>23th European Signal Processing Conference (EUSIPCO 2015)</i>. ; 2015. eng info:eu-repo/semantics/openAccess