Passive emitter geolocation using agent-based data fusion of AOA, TDOA and FDOA measurements

This paper considers the use of the Hough transform image processing method applied to the problem of agent-based multi-platform, multi-sensor emitter geolocation. In this paper, improved geolocation is obtained through the fusion of three different types of measurement: angle of arrival, time difference of arrival and frequency difference of arrival. One of the main aims of this paper is to introduce a novel method of obtaining the weights for optimal combining of the different types of measurement during fusion. Comparative results of the new method obtained by simulation are presented.