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The ranging performance of the Long Term Evolution (LTE) positioning reference signal (PRS) is enhanced with respect to traditional correlation-based approaches in multipath channels. For that purpose, a joint maximum likelihood (ML) channel and time delay estimation is introduced for the PRS signal. The estimation can be implemented by using the least-squares (LS) criterion that benefits from the multicarrier flexible waveform. Preliminary results are shown with a comparison of the root-mean-square error (RMSE) of this ML estimator and the corresponding Cramér-Rao Bound (CRB) expression for a specific urban pedestrian channel model.
Date of Conference: 5-7 Dec. 2012