Seamless Accurate Positioning in Deep Urban Area Based on Mode Switching Between DGNSS and Multipath Mitigation Positioning

Lee, Yongjun; Hwang, Yoola; Ahn, Jae Young; Seo, Jiwon; Park, Byungwoon

doi:10.1109/tits.2023.3256040

Cited by 9 publications

(4 citation statements)

References 47 publications

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“…Reliable positioning, navigation, and timing (PNT) information are becoming increasingly crucial in various applications [1][2][3][4]. In particular, the PNT information, which is currently the most widely used technology, is essential for autonomous driving.…”

Section: Introductionmentioning

confidence: 99%

Demonstration of the Feasibility of the Korean eLoran System as a Resilient PNT in a Testbed

Son

Park²,

Han³

et al. 2023

Remote Sensing

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With the increasing utilization of location information, attempts to improve the safety of absolute positioning coordinates, which have depended on global navigation satellite systems (GNSSs), such as the Global Positioning System (GPS), are underway. Among these, enhanced long range navigation (eLoran) is the most technically developed system. In Korea, related technologies have been developed since 2016, and a testbed for eLoran performance evaluation, which is currently in operation as a pilot service, was completed in 2021. We analyze the position accuracy of the eLoran pilot service to use it as an alternative when GNSS usage is challenging within Korea’s eLoran testbed. We evaluated the accuracy of the absolute position using the eLoran system by sailing up to 160 km away from the Incheon testbed transmitter according to four navigation stages (inland waterway, port approach, coastal, and ocean) classified by the International Maritime Organization (IMO). To validate the eLoran positioning performance in which an additional secondary factor (ASF) map is not provided, we propose a differential GPS (DGPS) position-based ASF estimation technique. Based on this study, Korea’s eLoran system can calculate the absolute position with an accuracy of approximately 15 m with 95% probability at the port-approach stage.

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Section: Introductionmentioning

confidence: 99%

Demonstration of the Feasibility of the Korean eLoran System as a Resilient PNT in a Testbed

Son

Park²,

Han³

et al. 2023

Remote Sensing

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“…The subsequence of this obstruction is an increased satellite dilution of precision (DOP), which directly degrades the accuracy of user positioning and leads to extensive error propagation along the window orientation. Furthermore, the limited visibility in a single direction frequently fails to meet the minimum number of satellites required for positioning [4], [5], [6]. Consequently, relying solely on GNSS satellite signals in these circumstances presents a significant challenge, demanding supplementary measurements or techniques to enhance the positioning process.…”

mentioning

confidence: 99%

A GNSS/Barometric Altimeter Tightly Coupled Integration for Three-Dimensional Semi-Indoor Mapping With Android Smartphones

Yun,

Park

2024

IEEE Geosci. Remote Sensing Lett.

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This letter introduces a GNSS/altimeter tightly coupled (TC) integration algorithm that combines barometric altitude measurements with GNSS observations to determine 3-D positions. By transforming barometric altitude measurements into Earth-centered Earth-fixed (ECEF) coordinates, a novel TC integration equation is derived. This equation enables accurate positioning with only three GNSS satellites and one altitude measurement, overcoming the limitations of conventional GNSS positioning techniques. A semi-indoor experiment for various smartphones was conducted to validate the proposed method, comparing it against conventional positioning techniques and the National Marine Electronics Association (NMEA) location provided by smartphone chipsets. The results demonstrated that the GNSS/BARO TC integration significantly reduced errors and improved accuracy. Notably, the mean error of 4.74 m horizontally and 2.43 m vertically improved the NMEA results by 63.31% and 89.18%, respectively, even under challenging indoor conditions. The proposed method met FCC-required accuracy levels, making it suitable for enhancing the accuracy and availability of wireless 911 calls, aligning with indoor positioning mandates.

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“…Based on numerous experimental results in urban environments, many studies have defined the position error of MP signals at the 1-sigma level as 20 m [45][46][47]. Therefore, through previous research indicators, the position error can be analyzed, and even if a delayed signal from one satellite is received, it can cause a minimum error of 6.6m.…”

mentioning

confidence: 99%

“…Accordingly, in case 3, an increase in the number of MP/NLOS satellites leads to a separation of multi-position data, resulting in position errors in the receiver Therefore, it is necessary to understand the characteristics between position data composed of LOS signals and MP/NLOS errors obtained from multi-position data with various delay errors in the pseudorange signals. Based on numerous experimental results in urban environments, many studies have defined the position error of MP signals at the 1-sigma level as 20𝑚 [45][46][47]. Therefore through previous research indicators, the position error can be analyzed, and even if a delayed signal from one satellite is received, it can cause a minimum error of 6.6m.…”

mentioning

confidence: 99%

Improving the Accuracy of Vehicle Position in an Urban Environment Using the Outlier Mitigation Algorithm Based on GNSS Multi-Position Clustering

Kim,

Lee

et al. 2023

Remote Sensing

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In this paper, we propose a multi-position cluster-based weighted position estimation method that minimizes the influence of multipath (MP)/non-line-of-sight (NLOS) signals using a global navigation satellite system (GNSS) receiver. The proposed method is suitable for positioning passenger cars, particularly in urban driving environments. Density-based spatial clustering of applications with noise (DBSCAN)-based clustering is performed by generating multi-position data through a subset of observable satellites and analyzing the density characteristics of position data generated by line-of-sight (LOS) satellite signals from the generated multi-position data. To estimate the optimal position through clustered data, we propose a method by constructing a weighted model through Doppler-based velocity measurements, which is robust to MP delay signals compared to code-based pseudorange measurements. In addition, to prevent unnecessary clustering points from having weights, the predicted range is selected based on the nonholonomic constraint of the vehicle. The proposed algorithm was quantitatively validated by selecting a region in an actual urban environment where the MP/NLOS error could occur significantly. It was confirmed that the accuracy of vehicle position was improved by approximately 24% by the proposed method compared to existing positioning solutions.

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Seamless Accurate Positioning in Deep Urban Area Based on Mode Switching Between DGNSS and Multipath Mitigation Positioning

Cited by 9 publications

References 47 publications

Demonstration of the Feasibility of the Korean eLoran System as a Resilient PNT in a Testbed

Demonstration of the Feasibility of the Korean eLoran System as a Resilient PNT in a Testbed

A GNSS/Barometric Altimeter Tightly Coupled Integration for Three-Dimensional Semi-Indoor Mapping With Android Smartphones

Improving the Accuracy of Vehicle Position in an Urban Environment Using the Outlier Mitigation Algorithm Based on GNSS Multi-Position Clustering

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