Direct position determination in the presence of model errors—known waveforms

The performance of the direct position determination (DPD) approach in the presence of model errors is examined. DPD was recently introduced as a promising technique for localization of multiple radio frequency emitters with superior accuracy under low signal-to-noise ratio conditions. We analyze the performance of DPD in the presence of model errors caused by multipath, calibration errors, mutual coupling, etc. The analysis is general enough to encapsulate various sources of errors. Monte Carlo simulations are used to validate the analysis. We show that in many cases of interest DPD should be selected as the preferred method of localization.