A Novel GPS Multipath Mitigation Method Based on the TKO and MPI Algorithm

Abstract

Multipath is one of dominant error source in satellite positioning. Various multipath mitigation methods have been developed. This paper proposes a new efficient method. The motivation for this proposed method is to combine the Teager-Kaiser Operator (TKO) with the Multipath Indicator (MPI) algorithm to achieve a better mitigation performance by taking advantages of their merits. The method first applies the TKO on received signals’ Auto Correlation Function (ACF) to get an initiate estimation of GPS multipath, and at the same time limit the received signals within a certain range to meet the application condition of the MPI algorithm. Then we employ MPI module to make compensation for the code tracking error to have a more accurate estimation. Finally, by overcoming the respective shortcomings of the TKO and MPI algorithm, the simulation results show that compared to the traditional narrow Early-Minus-Late technique (nEML), the original TKO and the original MPI algorithm, the proposed method can get a smaller code tracking error and achieve the goal of the GPS multipath mitigation, especially in the low Signal-to-Noise Ratio (SNR) surroundings.