A multipath mitigation algorithm for GNSS signals based on the steepest descent approach

Abstract Multipath interference seriously degrades the performance of Global Navigation Satellite System (GNSS) positioning in an urban canyon. Most current multipath mitigation algorithms suffer from heavy computational load or need external assistance. We propose a algorithm based on steepest descent approach, which has merits less and no for aid. A new ranging code tracking loop is designed method, can save early branch late compared with narrow-spacing correlation method. The power Non-Line-of-Sight (NLOS) signal weaker than that Line-of-Sight (LOS) when LOS not obstructed relatively high Carrier Noise Ratio (CNR). peak position X -axis autocorrelation function does move NLOS interference. Meanwhile, cost according to this phenomenon. results demonstrate proposed outperforms Estimated Delay Locked Loop (MEDLL) terms computation time. Standard Deviation (STD) error 0.016 chips. Moreover, time software defined receiver shortened by 24.21% correlation.