Title :
Fusion of Sensor Data for Source Localization using the Hough Transform
Author :
Mikhalev, A. ; Ormondroyd, R.F.
Author_Institution :
Dept. of Aerosp., Power & Sensors, Cranfield Univ., Bedford
Abstract :
This paper describes a novel source localization algorithm based on the Hough transform that allows different types of sensor data, such as angle of arrival and time difference of arrival data to be fused together by means of a transformation into a consistent parameterized space. A particular advantage of this method is that terrain data can also be fused with the various types of sensor data to aid accurate source localization
Keywords :
Hough transforms; direction-of-arrival estimation; sensor fusion; Hough transform; angle of arrival; parameterized space; sensor data fusion; source localization algorithm; terrain data; time difference of arrival data; Frequency estimation; Fuses; Probability density function; Radio frequency; Receivers; Sensor fusion; Sensor phenomena and characterization; Statistical analysis; Time difference of arrival; Voting; Emitter localization; Generalized Hough Transform; data fusion; position estimation;
Conference_Titel :
Information Fusion, 2006 9th International Conference on
Conference_Location :
Florence
Print_ISBN :
1-4244-0953-5
Electronic_ISBN :
0-9721844-6-5
DOI :
10.1109/ICIF.2006.301686
