A Ray-Tracing Technique to Characterize GPS Multipath in the Frequency Domain

Gowdayyanadoddi, Naveen S.; Curran, James T.; Broumandan, Ali

doi:10.1155/2015/983124

Cited by 16 publications

(8 citation statements)

References 23 publications

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“…This type is very suitable for studying multipath characteristics under specific carriers, such as fighter and warship, since the 3-dimensional structure model of carriers can be built relatively precise [ 4 ]. The ray tracing technique is also proposed to study the code phase and carrier phase characteristics of multipath propagation, and the accuracy of the method is verified by real data [ 5 , 6 ]. Some algorithms are proposed to improve the positioning performance by using a 3D model [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

Statistical Multipath Model Based on Experimental GNSS Data in Static Urban Canyon Environment

Wang

Chen

Liu

2018

Sensors

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A deep understanding of multipath characteristics is essential to design signal simulators and receivers in global navigation satellite system applications. As a new constellation is deployed and more applications occur in the urban environment, the statistical multipath models of navigation signal need further study. In this paper, we present statistical distribution models of multipath time delay, multipath power attenuation, and multipath fading frequency based on the experimental data in the urban canyon environment. The raw data of multipath characteristics are obtained by processing real navigation signal to study the statistical distribution. By fitting the statistical data, it shows that the probability distribution of time delay follows a gamma distribution which is related to the waiting time of Poisson distributed events. The fading frequency follows an exponential distribution, and the mean of multipath power attenuation decreases linearly with an increasing time delay. In addition, the detailed statistical characteristics for different elevations and orbits satellites is studied, and the parameters of each distribution are quite different. The research results give useful guidance for navigation simulator and receiver designers.

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Section: Introductionmentioning

confidence: 99%

Statistical Multipath Model Based on Experimental GNSS Data in Static Urban Canyon Environment

Wang

Chen

Liu

2018

Sensors

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“…The experimental results are then post-processed and compared to the ground truth and different positioning algorithms, including: Skymask Matching (SM): The skymask matching algorithm proposed in this paper; Smartphone: Low-cost GNSS solution by Galaxy note 9 Broadcom BCM47755; 3DMA: Integrated solution by 3DMA GNSS algorithm on shadow matching, skymask 3DMA and likelihood-based ranging GNSS [ 23 ]; WLS: Weighted-least-square [ 24 ]; Conv: Conventional commercial GNSS solution by Allystar TAU1302+AGR6303 active antenna; Ground Truth: Data was collected at the landmark location on Google Earth, a software maintained and developed by Google LLC, which is based in Mountain View, California, USA. The accuracy is within 1–2 m based on our experience.…”

Section: Experiments Results and Analysismentioning

confidence: 99%

Skymask Matching Aided Positioning Using Sky-Pointing Fisheye Camera and 3D City Models in Urban Canyons

Lee

et al. 2020

Sensors

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3D-mapping-aided (3DMA) global navigation satellite system (GNSS) positioning that improves positioning performance in dense urban areas has been under development in recent years, but it still faces many challenges. This paper details a new algorithm that explores the potential of using building boundaries for positioning and heading estimation. Rather than applying complex simulations to analyze and correct signal reflections by buildings, the approach utilizes a convolutional neural network to differentiate between the sky and building in a sky-pointing fisheye image. A new skymask matching algorithm is then proposed to match the segmented fisheye images with skymasks generated from a 3D building model. Each matched skymask holds a latitude, longitude coordinate and heading angle to determine the precise location of the fisheye image. The results are then compared with the smartphone GNSS and advanced 3DMA GNSS positioning methods. The proposed method provides degree-level heading accuracy, and improved positioning accuracy similar to other advanced 3DMA GNSS positioning methods in a rich urban environment.

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“…However, the CMC method cannot indicate the number of multipath rays and their parameters, such as the delay, attenuation, Doppler frequency, and lifetime. The ray-tracing technique is employed to calculate all possible multipath signals precisely for a specific scenario (Weiss et al 2007;Gowdayyanadoddi et al 2015;Lau and Cross 2017;Panicciari et al 2018). This technique is more applicable to multipath analysis for small-scale scenarios.…”

Section: Introductionmentioning

confidence: 99%

BDS B1I multipath channel statistical model comparison between static and dynamic scenarios in dense urban canyon environment

Chen

Pei

2020

Satell Navig

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Global Navigation Satellite System (GNSS) multipath channel models are fundamental and critical for signal simulation and receiver performance evaluation. They also aid the designing of suitable multipath error mitigation algorithms when the properties of multipath channel are available. However, there is insufficient existing research on BeiDou Navigation Satellite System (BDS) signal multipath channel models. In this study, multipath channel statistical models are established on the basis of extensive datasets of the BDS B1I signal. A multipath parameter estimation algorithm is designed to extract information of multipath rays from the intermediate frequency data. The delay, power loss, Doppler fading frequency, and lifetime distribution models for static and dynamic vehicle platforms are established and compared, and the effects of the satellite orbit type and platform speed on the models are analyzed. The results reveal the detailed distribution and variation characteristics of the multipath parameters and are valuable for the development of accurate urban navigation systems.

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A Ray-Tracing Technique to Characterize GPS Multipath in the Frequency Domain

Cited by 16 publications

References 23 publications

Statistical Multipath Model Based on Experimental GNSS Data in Static Urban Canyon Environment

Statistical Multipath Model Based on Experimental GNSS Data in Static Urban Canyon Environment

Skymask Matching Aided Positioning Using Sky-Pointing Fisheye Camera and 3D City Models in Urban Canyons

BDS B1I multipath channel statistical model comparison between static and dynamic scenarios in dense urban canyon environment

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