Design of an adaptive GPS vector tracking loop with the detection and isolation of contaminated channels

Sun, Zhaoyan; Wang, Xinlong; Feng, Shaojun; Che, Huan; Zhang, Jinpeng

doi:10.1007/s10291-016-0558-5

Cited by 28 publications

(13 citation statements)

References 6 publications

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“…To reduce the computational load, the concept of equivalent noise bandwidth of VTL is used to determining potential NLOS reception so as not to apply multi-correlator for each satellite. Equivalent noise bandwidth of VTL was original used for signal quality monitoring in [40]. The equivalent noise bandwidth, also termed as noise bandwidth, is defined as […”

Section: ) Equivalent Noise Bandwidth Of Vtlmentioning

confidence: 99%

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Vector Tracking Loop-Based GNSS NLOS Detection and Correction: Algorithm Design and Performance Analysis

Jia

Hsu

2020

IEEE Trans. Instrum. Meas.

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This paper deals with the none-line-of-sight (NLOS) reception issue in the field of global navigation satellite system (GNSS). The NLOS reception has attracted a significant amount of attention because it is one of the main factors that limit the GNSS position accuracy in urban areas. In this work, we dig into the baseband signal processing level to explore a new solution to the NLOS detection and correction by means of the vector tracking loop (VTL). The NLOS effects on both conventional scalar tracking loops (STL) and VTL are derived mathematically. Based on this, an NLOS detection algorithm is developed using metrics such as the equivalent noise bandwidth, the time delay of multi-correlator peaks, as well as code discriminator outputs. Once detected, the NLOS-induced measurement error is corrected before being fed forward into the navigation estimator to improve the position accuracy. Two field tests in urban areas in Hong Kong are conducted to illustrate the effectiveness of the proposed method in real applications. The NLOS correction performance is also assessed using simulated NLOS receptions with controllable time delays and reflection coefficients, which reveals how the proposed algorithm performs in different NLOS scenarios. Index Terms-Global navigation satellite system (GNSS), nonline-of-sight (NLOS) reception, vector tracking loops (VTL), software-defined receivers (SDR), urban canyon TABLE I TECHNIQUES DEALING WITH NLOS RECEPTION Category Techniques Mitigation Antenna design, e.g., choke-ring antenna[11] Consistency checking techniques, e.g., based on pseudorange residual and navigation solution [12-14] Kalman filter-based innovation filtering [15] Detection Hardware-based techniques, e.g., array antenna[16], dualpolarization antenna [17], sky-pointing camera [18, 19] Machine learning technique [20-23] 3D building model [20, 24-27] Vector tracking loops (VTL) [28] Correction 3D mapping-aided (3DMA) [24, 29], building height aided 3-dimentional light detection and ranging (3D LiDAR) [30], NLOS modeling [31] The first category is mitigation, where any potentially contaminated measurements, including the NLOS reception, are directly removed or reduced without being clearly classified. A typical example of this method is the usage of choke-ring antenna [11], which gives low gains to satellites with low research was supported by the Hong Kong PolyU startup fund on the project 1-ZVKZ, "Navigation for Autonomous Driving Vehicle using Sensor Integration".

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Section: ) Equivalent Noise Bandwidth Of Vtlmentioning

confidence: 99%

“…Given a fixed transfer function such as the conventional 2nd-order DLL, the noise bandwidth can be determined using (8). Analogously, for the VTL with a transfer function calculated as [40] ( ) (10) where CA  denotes the width of the code in meters. Fig.…”

Section: ) Equivalent Noise Bandwidth Of Vtlmentioning

confidence: 99%

Vector Tracking Loop-Based GNSS NLOS Detection and Correction: Algorithm Design and Performance Analysis

Jia

Hsu

2020

IEEE Trans. Instrum. Meas.

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“…A fatal drawback of the vector receiver is that a faulty tracking channel can contaminate all of the remaining tracking channels [1,10]. C/N 0 is typically an important parameter for the identification of fault-tracking channels [4].…”

Section: Introductionmentioning

confidence: 99%

C/N0 Estimator Based on the Adaptive Strong Tracking Kalman Filter for GNSS Vector Receivers

Liu

Zheng

et al. 2020

Sensors

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The carrier-to-noise ratio (C/N0) is an important indicator of the signal quality of global navigation satellite system receivers. In a vector receiver, estimating C/N0 using a signal amplitude Kalman filter is a typical method. However, the classical Kalman filter (CKF) has a significant estimation delay if the signal power levels change suddenly. In a weak signal environment, it is difficult to estimate the measurement noise for CKF correctly. This article proposes the use of the adaptive strong tracking Kalman filter (ASTKF) to estimate C/N0. The estimator was evaluated via simulation experiments and a static field test. The results demonstrate that the ASTKF C/N0 estimator can track abrupt variations in C/N0 and the method can estimate the weak signal C/N0 correctly. When C/N0 jumps, the ASTKF estimation method shows a significant advantage over the adaptive Kalman filter (AKF) method in terms of the time delay. Compared with the popular C/N0 algorithms, the narrow-to-wideband power ratio (NWPR) method, and the variance summing method (VSM), the ASTKF C/N0 estimator can adopt a shorter averaging time, which reduces the hysteresis of the estimation results.

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“…The position, velocity, and time (PVT) deviations of the receiver are taken as estimated states. Due to the non‐linear relationship between measurements and states, the extended Kalman filter (EKF) is introduced to deal with the non‐linear state estimation issue and has been widely used in VTL [3, 11, 12]. However, the EKF needs a Jacobians matrix which causes implementation complexity and difficulty.…”

Section: Introductionmentioning

confidence: 99%

Square‐root cubature Kalman filter‐based vector tracking algorithm in GPS signal harsh environments

Wang

Chen

Zhang

2020

IET Radar, Sonar & Navigation

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Design of an adaptive GPS vector tracking loop with the detection and isolation of contaminated channels

Cited by 28 publications

References 6 publications

Vector Tracking Loop-Based GNSS NLOS Detection and Correction: Algorithm Design and Performance Analysis

Vector Tracking Loop-Based GNSS NLOS Detection and Correction: Algorithm Design and Performance Analysis

C/N0 Estimator Based on the Adaptive Strong Tracking Kalman Filter for GNSS Vector Receivers

Square‐root cubature Kalman filter‐based vector tracking algorithm in GPS signal harsh environments

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