Multipath mitigation in GPS receiver using Taylor integrated bidirectional least mean square algorithm

Abstract

Research interest in Global Navigation Satellite System (GNSS) is increasing in the past few years due to its wide applicability in many application-oriented environments, such as automobile navigation system and aircraft landing system. Global Positioning System (GPS) is one of the GNSSs having high precision navigation performance. Multipath is a dominant error source that occurs in several GPS applications, limiting the performance. To reduce the multipath effects of satellite signals, an effective multipath mitigation technique is required. This paper introduces the Taylor series-based bidirectional least mean square (Taylor-BLMS) beamforming model for the multipath mitigation problems occurring in the GPS receiver. The performance metrics, such as antenna gain and bit error rate (BER), measure the performance of the proposed Taylor-BLMS model against various comparative models. For the system with six sensors, the proposed Taylor-BLMS model has the best performance with the values of 23.460 dB and 4.78E−05 for the antenna gain and the BER, respectively. For the system with 1 jammer, the proposed Taylor-BLMS model has the antenna gain and the BER values of 22.2828 dB and 3.69E−05, respectively. Trans Emerging Tel Tech. 2019;30:e3760. wileyonlinelibrary.com/journal/ett

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“…For the pseudo-range equation that was simplified to a linear equation, the four unknowns [Δx, Δy, Δz, Δ t u ] T should be solved. 19 When there were four satellites and the matrix G was full rank, the equations had only one solution, as shown in Equation 7. If the rank of the matrix G was less than 4, the matrix had no array solution and this became an ideal situation.…”

“…The accuracy factor can be expressed by the following equation: Horizontal accuracy factor: (19) Height accuracy factor:…”

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