DOI: 10.3724/SP.J.1146.2013.00166

Journal of Electronics & Information Technology (电子与信息学报) 2013/35:12 PP.2889-2895

A Method for GPS Multipath Mitigation Based on the Compressed Sampling and the Auto-correlation Function Amplitude Estimation

A method for GPS multipath mitigation is proposed. The general process of the proposed method is that first initial estimations of time delay and amplitude of each multipath are obtained by compressed sampling of the received signal with Teager-Kaiser (TK) operator, and then further estimations of the initial estimated results are got by reconstructing the received signal’s auto-correlation curve. Finally, more precise estimates of amplitude and time delay of the Line-Of-Sight (LOS) signal can be acquired from the previous reconstruction results, and thus the goal of GPS multipath mitigation is achieved. The simulation results under different conditions show that the proposed method outperforms the narrow correlator which is often used in a conventional GPS receiver, and it can also achieve a superior performance as the high resolution correlator can when one sample interval modification is done on the TK time delay estimation results.

Key words:Signal processing,Compressed sampling,Auto-correlation amplitude estimation,Signal reconstruction,Multipath mitigation

ReleaseDate:2014-07-21 17:04:37