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

: Schikora, M.; Oispuu, M.; Koch, W.; Cremers, D.


Institute of Electrical and Electronics Engineers -IEEE-:
4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2011 : 13 - 16 Dec. 2011, San Juan, Puerto Rico
Piscataway/NJ: IEEE, 2011
ISBN: 978-1-4577-2104-5 (Print)
ISBN: 978-1-4577-2105-2
International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) <4, 2011, San Juan/Puerto Rico>
Conference Paper
Fraunhofer FKIE ()

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.