GPS Signal Multipath Error Mitigation Technique

Bidikar, Bharati; Chapa, Babji Prasad; Kumar, Mogadala Vinod; Rao, G. Sasibhushana

doi:10.5772/intechopen.92295

Cited by 7 publications

(5 citation statements)

References 15 publications

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“…The magnitudes of MP1 and MP2 appeared the same, which are the combination of both the pseudorange, and carrier‐phase measurements as shown by Equations 7 and 8. The signal transmitted by the satellite, taking multiple paths affects from both pseudorange and carrier‐phase measurements but the effect of multipath on pseudorange is much higher than the carrier phase 81,82 . Here, both MP1 and MP2 values were almost the same which indicated either pseudorange from both L1 and L2 signal were almost same and comparatively phase measurement was very less or their combined estimation according to Equations 7 and 8 were almost equally affected.…”

Section: Resultsmentioning

confidence: 85%

Wavelet and power spectrum analysis of global navigation satellite system multipath error modeling and mitigation

Ansari

Bae

2021

Satell Commun Network

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Summary This study investigates the multipath error modeling and mitigation for triple‐frequency global navigation satellite system (GNSS) signals inside South Korea. Multifrequency global positioning system (GPS), globalnaya navigatsionnaya sputnikovaya sistema (GLONASS), and Galileo data are collected in an environment where the receiver must track these three constellations in both low and high multipath scenarios. First, an advanced power spectrum analysis technique known as Welch method is performed using experimental data, and its benefits and drawbacks are described. In the second attempt, the spectrogram method is utilized to perform multipath feature time–frequency analysis. Although the abnormal frequency peak presented by the spectrogram is stable, the spectrogram does not support the precise recognition of the multipath error peak occurrence. Hence, in the third attempt, continuous wavelet transforms (CWT) are applied to highlight this type of peak resolution. The CWT function successfully indicated the maximum and minimum peak resolutions and exhibited a clear wavelet energy spread. In the final stage, experimental data are reconstructed by inverse CWT (ICWT), and comparative results in terms of root mean square before and after the ICWT are estimated. After implementing the inverse wavelet method in high and low multipath error of experimental data, overall average percentages of multipath mitigation reduction compared to actual multipath error are estimated to be 95.74% and 98.79%, respectively. This study demonstrates the high efficiency of the wavelet method as well as the effectiveness as a multipath error reduction approach. These improvements can be considered as significant in achieving high‐precision positioning accuracy.

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Section: Resultsmentioning

confidence: 85%

Wavelet and power spectrum analysis of global navigation satellite system multipath error modeling and mitigation

Ansari

Bae

2021

Satell Commun Network

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“…Compared to CMC observations, the multipath linear combination(MPLC) utilizes the two different frequency signals transmitted by the same satellite to eliminate the ionosphere delay [3]. Its advantage lies in the ability to obtain stable values over a relatively long period of time without the aid from reference stations.…”

Section: The Multipath Componentsmentioning

confidence: 99%

Multipath Effects Mitigation in Offshore Construction Platform GNSS-RTK Displacement Monitoring Using Parallel Temporal Convolution Network

Jiang,

Guo,

Wang

et al. 2024

Preprint

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Global Navigation Satellite System (GNSS), renowned for its high precision and automation, has shone brightly in deformation monitoring of offshore facilities and sea-cross bridges. However, GNSS antennas placed in these locations are often subject to signal interference from various reflective surfaces such as water, which significantly compromises observation accuracy and reliability. Synthesizing previous research, firstly we propose a method for constructing a multipath dataset. This involves detailed mapping of the boundaries of reflective areas in the airspace map, using three types of linear combinations of satellite observations within this area as the multipath dataset, and employing static solution residuals as multipath reference values. Subsequently, we have constructed and trained a corresponding parallel temporal convolution network to enable real-time prediction of multipath, thereby mitigating the impact of multipath on this observation. Through time-frequency domain analysis and correlation analysis, it has been demonstrated that the trained network can capture the main characteristics of multipath and suppress those components within the frequency band corresponding to the multipath, effectively mitigating the interference of multipath errors in observations.

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“…The visibility is reliant upon the positioning of the receiver's location. The control segment of it comprises units of system control, and network tracking stations in the USSR [41].…”

Section: Global Navigation Satellite System (Glonass)mentioning

confidence: 99%

Review of Episodic Voyage of Engineering Surveying and Cartography in India

Nanda

Mishra

Barik

et al. 2023

CJAST

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This study presents the Episodic Voyage of Engineering Surveying and Cartography in India to know our past development in mapmaking and cartography, which is as old as Ptolemy’s expedition in the 2nd century AD in India. Starting from ropes and sticks to measure, plumb bobs to position, site rule for sighting, and clinometer for height measurement, the Indians and people from other countries, developed the present instruments and methodologies. They have evolved by gathering big data and up to making smart maps by today. The methodology employed is to collect data about the development of innovative technologies in the last 15th to 21st centuries. The journey commenced from Zareb, Kadi, etc. to the development of geo-informatics with the practices of Aerial photography, Geographical Information Systems (GIS), Remote Sensing (RS), Global Positioning Systems (GPS), Image Processing, Photogrammetry by unmanned aerial vehicle (UAV), Light Detecting and Ranging (LiDAR), Web GIS, through large-scale map generation. The innovative practices have given a new direction to the subjects like geography, geology, urban planning, landscaping, and other human application services. The present study includes the search for the advances in surveying and map-making journey to date and the way forward. Eventually, the evolution of technologies will influence greatly the surveying and map-generating Present process. The application handling in the current geospatial ecosystem can be complied with by compiling large-scale maps 1:500, 1:1000, etc. through automation for better smart city planning in India. The change shall paddle the economic growth in different developing countries. However, the survey of marine territories of India is poorly researched.

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GPS Signal Multipath Error Mitigation Technique

Cited by 7 publications

References 15 publications

Wavelet and power spectrum analysis of global navigation satellite system multipath error modeling and mitigation

Wavelet and power spectrum analysis of global navigation satellite system multipath error modeling and mitigation

Multipath Effects Mitigation in Offshore Construction Platform GNSS-RTK Displacement Monitoring Using Parallel Temporal Convolution Network

Review of Episodic Voyage of Engineering Surveying and Cartography in India

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