Sensitivity Analysis of Navigation with Indian Constellation (NavIC) Derived Multipath Phase Towards Surface Soil Moisture Over Agricultural Land

Shekhar, Sushant; Prakash, Rishi; Vidyarthi, Anurag; Pandey, Dharmendra Kumar

doi:10.1109/icsc48311.2020.9182714

“…The measurement of soil moisture content is important in the fields of agriculture, climate monitoring, climate change, soil erosion, etc. [15][16][17][18][19][20][21][22][23]. Other applications of GNSS are snow depth estimation, climate model, weather monitoring, soil erosion, soil moisture modeling and integrated sensing of soil moisture, and etc [24][25][26][27][28][29][30].…”

Section: In This Study Mathematical Model For Both Direct and Multipa...mentioning

confidence: 99%

Mathematical Model Development for Navigation with Indian Constellation (NavIC) L-Band Geo Synchronous Satellite's Direct Signal and Multipath Signals

Chamoli

¹

,

Prakash²,

Vidyarthi³

2022

Wireless Pers Commun

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3

0

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NavIC L-band satellite signal that travels from the satellite to the receiver undergoes mainly shadowing and multipath effects. In this research paper, NavIC satellites were observing and analyzing signal efficiency for both the direct signal and multipath signal over the Dehradun area. Two open space data series (Direct signal and Multipath signal) for Dehradun were obtained in this analysis by the satellite receiver. The methodology includes evaluation, testing, and analysis of data in both cases. Based on collected data, a general mathematical model has been developed, describing the signal intensity in the open space context. The both NavIC Mathematical model was validated with the experimental data. The average R 2 and RMSE values developed for the direct signal mathematical model were 0.89 and 1.08% respectively which show a good prediction of NavIC C/N0 value with the developed model. For the multipath mathematical model, four cases have been evaluated. Comparing the graphical view of all four cases for C/No multipath signal concerning raw NavIC C/No multipath signal has been done to select the best mathematical model.

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“…GNSS-IR has the advantage of cancelling out all the atmospheric disturbances as it works on path delay between the direct and reflected signal. The amplitude, phase, and frequency of generated sinusoidal interference at lower elevation angles are the observables that are analyzed in the study of soil moisture and termed as multipath amplitude, multipath phase, and multipath frequency, respectively [1,3,6,13,14]. Signals originated from GPS, GLONASS, and BDS have been mostly analyzed in the study of soil moisture over bare and vegetated soil [3,11,15].…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of NavIC Multipath Observables for Soil Moisture over Different Field Conditions

Shekhar¹,

Prakash²,

Pandey³

et al. 2023

PIER M

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Studies of soil moisture with Global Navigation Satellite System (GNSS) have gained the attention of several researchers. Multipath amplitude, multipath phase, and multipath frequency are multipath observables that are utilized in the study of soil moisture. However, an inter-comparison of the performance of these parameters for soil moisture under different roughness and vegetation conditions is very much required to have a better insight so that more robust inversion algorithm for soil moisture retrieval with multipath observables can be designed. Therefore, this paper analyses the performance of these multipath observables for soil moisture over bare smooth soil, rough surface, and vegetated soil. Two different fields have been investigated to include the location variability. Navigation with Indian constellation (NavIC) multipath signal has been used in this study. Statistical parameters such as correlation coefficient (R), Root Mean Square Error (RMSE), and sensitivity have been determined to study the performance of multipath observable for soil moisture under different surface roughness and vegetation conditions.

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“…The measurement of soil moisture content is important in the fields of agriculture, climate monitoring, climate change, soil erosion, etc. [15][16][17][18][19][20][21][22][23]. Other applications of GNSS are snow depth estimation, climate model, weather monitoring, soil erosion, soil moisture modeling and integrated sensing of soil moisture, and etc [24][25][26][27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Mathematical Model Development for Navigation with Indian Constellation (NavIC) L-Band Geo Synchronous Satellite's Direct Signal and Multipath Signals

Chamoli¹,

Prakash²,

Vidyarthi³

2021

Preprint

Self Cite

0

View full text Add to dashboard Cite

NavIC L-band satellite signal that travels from the satellite to the receiver undergoes mainly shadowing and multipath effects. In this research paper, NavIC satellites were observing and analyzing signal efficiency for both the direct signal and multipath signal over the Dehradun area. Two open space data series (Direct signal and Multipath signal) for Dehradun were obtained in this analysis by the satellite receiver. The methodology includes evaluation, testing, and analysis of data in both cases. Based on collected data, a general mathematical model has been developed, describing the signal intensity in the open space context. The both NavIC Mathematical model was validated with the experimental data. The average R 2 and RMSE values developed for the direct signal mathematical model were 0.89 and 1.08% respectively which show a good prediction of NavIC C/N0 value with the developed model. For the multipath mathematical model, four cases have been evaluated. Comparing the graphical view of all four cases for C/No multipath signal concerning raw NavIC C/No multipath signal has been done to select the best mathematical model.

show abstract

Sensitivity Analysis of Navigation with Indian Constellation (NavIC) Derived Multipath Phase Towards Surface Soil Moisture Over Agricultural Land

Cited by 18 publications

References 11 publications

Mathematical Model Development for Navigation with Indian Constellation (NavIC) L-Band Geo Synchronous Satellite's Direct Signal and Multipath Signals

Mathematical Model Development for Navigation with Indian Constellation (NavIC) L-Band Geo Synchronous Satellite's Direct Signal and Multipath Signals

Comparative Analysis of NavIC Multipath Observables for Soil Moisture over Different Field Conditions

Mathematical Model Development for Navigation with Indian Constellation (NavIC) L-Band Geo Synchronous Satellite's Direct Signal and Multipath Signals

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