Abstract
In this paper, we consider the problem of improving the accuracy of time difference of arrival (TDOA) and frequency difference of arrival (FDOA)-based geolocation for unknown emitters. Our approach integrates multiple geolocation results by using a recursive least mean square (RLMS) algorithm and removing outliers. Simulation results show that the proposed method improves geolocation accuracy and that gating effectively removes the outliers. For instance, if two out of 20 measurements are outliers, then the root mean square error (RMSE) of the proposed method has been reduced by 74.31% (12.84 km) compared with conventional methods.
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