Performance analysis of passive emitter tracking using TDOA, AOA and FDOA measurements
Regina Kaune · 2010
Abstract: This paper investigates passive emitter tracking using acombination of Time Difference of Arrival(TDOA) measurements with further different types of measurements. The measurements are gained by exploiting the signal impinging from an unknown moving emitter. First, acombined set of TDOAand Angle of Arrival(AOA) measurements is processed using the Maximum Likelihood Estimator (MLE). Then, aGaussian Mixture (GM) filter is used to solve the tracking problem based on TDOA and Frequency Difference of Arrival (FDOA) measurements. In Monte Carlo simulations, the superior performance of the combined methods in contrast to the single TDOAapproach is shown and compared with the Cramér-Rao Lower Bound (CRLB). 1