Sigma-Point Kalman Filter Algorithm in the Problem of GNSS Signal Parameters Estimation in Non-Coherent Tracking Mode in Spacecraft Autonomous Navigation Equipment

Shavrin, V. V.; Tislenko, V. I.; Lebedev, V.Yu.; Filimonov, V. A.; Konakov, A. S.

doi:10.1134/s2075108718040089

Cited by 5 publications

(2 citation statements)

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“…In this case, other approaches have been considered that use several different strategies for approaching the optimal solution. These approaches are suboptimal and include the extended Kalman filter (EKF) and unscented Kalman filter (UKF) [11][12][13][14][15][16][17][18][19]. In this variant, a suboptimal nonlinear tracking filter (EKF or UKF) replaces both the discriminator and the tracking loop filter.…”

Section: Introductionmentioning

confidence: 99%

“…This algorithm gives a more correct solution to nonlinear problems as compared with the EKF and forms suboptimal estimates of the state vector according to the criterion of the minimum meansquare error of the estimate. The authors of [16,17] proposed an SPKF algorithm in the problem of GPS signal parameter estimation in coherent and noncoherent tracking modes in spacecraft autonomous navigation equipment. The obtained results suggested that the SPKF algorithm could form RNP estimates with appropriate accuracy under the conditions of space consumer functioning.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Carrier Tracking Approach for GPS Signals Based on Gauss–Hermite Kalman Filter

Klokov¹,

Kanouj²,

Mironchev³

2022

Electronics

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In a conventional GPS receiver, the carrier tracking system is the key stage that keeps the receiver locked to the radio navigation parameters (RNPs) of the received signal. The most commonly used approaches to the tracking system are phase lock loop (PLL), frequency lock loop (FLL), and FLL-assisted PLL. The main limitation of the above approaches is that their performance deteriorates when working with weak signals and in harsh environments. In recent years, Kalman filter (KF)-based tracking loop architectures have gained increased attention due to their robust and better performance compared with conventional architectures. In this paper, a novel Gauss–Hermite Kalman filtering-based carrier tracking algorithm is proposed for static and moving receivers with weak GPS signals. The performance of the proposed algorithm is compared with two other approaches: extended Kalman filter (EKF) and unscented Kalman filter (UKF). Simulations were conducted using a software-defined GPS simulator and software device radio (SDR) modules. A comparative analysis of the tracking methods demonstrated that the proposed tracking method shows a better performance and improves the tracking sensitivity and capability under weak signal conditions as compared with EKF- and UKF-based tracking methods. In addition, the results show that the proposed approach improves the Doppler frequency measurement accuracy under dynamic operation conditions.

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