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In order to deal with the uncertainty of measurement noise, particularly for outlier types of multipath interference and non-line of sight (NLOS) reception, this paper proposes a novel method for processing the navigation states of the Global Positioning System (GPS) that combines the maximum correntropy criterion (MCC) and the interacting multiple model (IMM), with an extended Kalman Filter (EKF). Multipath mitigation is essential for increased positioning accuracy since multipath interference is one of the primary sources of errors. Nonlinear filtering with IMM configuration uses filter structural adaptation. In processing time-varying satellite signal standards for GPS navigation, it offers an alternative for creating the adaptive filter. A collection of switching models built on a method of multiple model estimation can be used to characterize the uncertainty of the noise. Even though most noise in real life is non-Gaussian, time-varying, and of fluctuating strength, the standard EKF operates effectively when the noise is Gaussian. The performance of EKF will drastically decline if the signals appear non-Gaussian. The underlying system disrupted by heavy-tailed, non-Gaussian impulsive sounds could be better since the EKF employs second-order statistical information. The MCC is a method for comparing two random variables based on higher-order signal statistics. The maximum correntropy-extended Kalman filter (MCEKF), which uses the MCC rather than the minimal mean square error (MMSE) as the optimization criterion, is used to enhance performance in non-Gaussian situations. Finally, a performance evaluation will be conducted to compare the effectiveness of the suggested strategy in improving positioning to alternative system designs.

The performance of GPS receivers with vector delay-locked tracking loop (VDLL) structure over a land mobile satellite (LMS) channel model for the simulation of multipath fading transmission is investigated. We apply vector delay-locked tracking loop receiver for GPS signal transmitting over LMS multipath fading situations. The adeptness of the vector tracking loop is to incessantly position when satellite GPS signal outage occurred. However, miscarriage tracking in one channel may overspread into the whole system originated the entire loss of locking on all satellites for vector tracking loop algorithm. To moderate this locking-loss situation, the VDLL system is carried with receiver autonomous integrity monitoring (RAIM) and fault detection and exclusion (FDE) algorithm to avoid signal unlocked incidence. The satellite signal to GPS receiver designs with two different Kalman filters (EKF: Extended Kalman Filter and UKF: Unscented Kalman Filter) are established to compare their performance over LMS multipath fading channel model simulations., Comment: 8 pages, 6 figures