The radio interferometric positioning system (RIPS) is a novel positioningsolution used in wireless sensor networks. This letter explores the rangingaccuracy of RIPS in two configurations. In the linear step-frequency (LSF)configuration, we derive the mean square error (MSE) of the maximum likelihood(ML) estimator. In the random step-frequency (RSF) configuration, we introduceaverage MSE to characterize the performance of the ML estimator. The simulationresults fit well with theoretical analysis. It is revealed that RSF is superiorto LSF in that the former is more robust in a jamming environment with similarranging accuracy.
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