{"language":[{"iso":"eng"}],"date_created":"2019-07-12T05:27:38Z","department":[{"_id":"54"}],"title":"DOA-Estimation based on a Complex Watson Kernel Method","date_updated":"2022-01-06T06:51:08Z","related_material":{"link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2015/DrJaHa15_Presentation.pdf","relation":"supplementary_material","description":"Presentation"}]},"user_id":"44006","_id":"11755","type":"conference","status":"public","citation":{"chicago":"Drude, Lukas, Florian Jacob, and Reinhold Haeb-Umbach. “DOA-Estimation Based on a Complex Watson Kernel Method.” In 23th European Signal Processing Conference (EUSIPCO 2015), 2015.","short":"L. Drude, F. Jacob, R. Haeb-Umbach, in: 23th European Signal Processing Conference (EUSIPCO 2015), 2015.","ieee":"L. Drude, F. Jacob, and R. Haeb-Umbach, “DOA-Estimation based on a Complex Watson Kernel Method,” in 23th European Signal Processing Conference (EUSIPCO 2015), 2015.","bibtex":"@inproceedings{Drude_Jacob_Haeb-Umbach_2015, title={DOA-Estimation based on a Complex Watson Kernel Method}, booktitle={23th European Signal Processing Conference (EUSIPCO 2015)}, author={Drude, Lukas and Jacob, Florian and Haeb-Umbach, Reinhold}, year={2015} }","ama":"Drude L, Jacob F, Haeb-Umbach R. DOA-Estimation based on a Complex Watson Kernel Method. In: 23th European Signal Processing Conference (EUSIPCO 2015). ; 2015.","mla":"Drude, Lukas, et al. “DOA-Estimation Based on a Complex Watson Kernel Method.” 23th European Signal Processing Conference (EUSIPCO 2015), 2015.","apa":"Drude, L., Jacob, F., & Haeb-Umbach, R. (2015). DOA-Estimation based on a Complex Watson Kernel Method. In 23th European Signal Processing Conference (EUSIPCO 2015)."},"year":"2015","publication":"23th European Signal Processing Conference (EUSIPCO 2015)","author":[{"last_name":"Drude","full_name":"Drude, Lukas","first_name":"Lukas","id":"11213"},{"first_name":"Florian","full_name":"Jacob, Florian","last_name":"Jacob"},{"first_name":"Reinhold","id":"242","last_name":"Haeb-Umbach","full_name":"Haeb-Umbach, Reinhold"}],"abstract":[{"text":"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.","lang":"eng"}],"main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2015/DrJaHa15.pdf","open_access":"1"}],"oa":"1"}