Multiple source localization based on biased bearings using the intensity filter - approach and experimental results

This paper investigates the three-dimensional localization problem for multiple emitters using a realistic airborne array sensor. In order to achieve improved results systematic and statistical direction finding errors are considered in a unified algorithm. The task is solved using a sequential Monte Carlo (SMC) implementation of the intensity filter (iFilter). In this paper, we compare two localization approaches without and with the consideration of systematic bearing errors and verify them with an experimental data set. The comparison of both approaches reveals that the bias consideration offers a superior performance.