Optimal Sensor Placement for Range-Based Dynamic Random Localization

The relative sensor-target formation configuration can significantly affect the potential performance of any particular localization algorithm. An evaluation measure based on the one-step prediction error covariance in extended Kalman filter process is derived in this letter. We determine the optimal sensor placement for the range-only localization considering the prior target location information. The conclusions are different from that in the static estimation problem.