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In GPS, correlation function distortion of the received signal due to multipath propagation can gravely degrade the position estimation. The positioning accuracy is strongly affected by the quality of the signal propagation time estimations. This paper presents an approach to the Sequential Monte Carlo filtering for the time delay estimation of direct and multipath signals. Filtering is done approximating posterior density function for time delays. Through comparative analysis, using simulated GPS signal, advantages of this method are presented.