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Performance of Localization Algorithm under Corrupted Measurement Data and Lopsided Sensor Arrangement

Radar networks show an interesting potential for safety and comfortable applications such as indoor monitoring or short-range automotive monitoring system. This paper presents our novel estimation algorithm of a target position. Especially we evaluate the performance about estimation accuracy and resistance to ghost targets under multipath environment. In above applications, the robust estimation is needed because the receivers tend to output corrupted measurement data. The corrupted data are mostly generated by multipath, sensitivity of receivers. Moreover, our arrangement of radars is one-side watching for easy fitting in typical applications. As a result of computer simulations, our algorithm has fine accuracy and robust detections compared with a popular trilateration algorithm. And the relationship between the estimation accuracy and the arrangement of receivers is introduced.