Performance analysis of Navigation with Indian Constellation satellites

Mukesh, R.; Karthikeyan, V.; Soma, P.; Sindhu, P.; Elangovan, R.R.

doi:10.1016/j.jksues.2019.06.002

Cited by 7 publications

(4 citation statements)

References 11 publications

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“…Moreover, a method that involves ionospheric gradient analysis using a weighted least square algorithm confirms the increments of VTEC accordingly with the effects of geomagnetic storm (Ravi Kumar et al (2019)). Mukesh et al (2019) did a comparative study of GPS-TEC from the IGS station at IISC, Bengaluru and International Reference Ionosphere (IRI) derived TEC with NavIC estimated TEC based on iono-delay measurements as well as pseudoranges, and found it to be in agreement with the model estimated TEC, thus concluding NavIC signals to be not only reliable for upper atmospheric sounding but also for the navigational applications. Furthermore (Bhardwaj et al (2017)) have presented in their study on how to determine VTEC using a dual-frequency method along with a short term analysis on the diurnal variation of NavIC data.…”

Section: Introductionmentioning

confidence: 75%

Performance of NavIC for studying the ionosphere at an EIA region in India

Ayyagari

Chakraborty

Das

et al. 2020

Advances in Space Research

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This paper emphasizes on NavIC's performance in ionospheric studies over the Indian subcontinent region. The study is performed using data of one year (2017-18) at IIT Indore, a location near the northern crest of Equatorial Ionization Anomaly (EIA). It has been observed that even without the individual error corrections, the results are within ±20% of NavIC VTEC estimates observed over the 1 • x 1 • grid of IPP surrounding the GPS VTEC estimates for most of the time.. Additionally, ionospheric response during two distinct geomagnetic storms (September 08 and 28, 2017) at the same location and other IGS stations covering the Indian subcontinent using both GPS and NavIC has also been presented. This analysis revealed similar variations in TEC during the geomagnetic storms of September 2017, indicating the suitability of NavIC to study space weather events along with the ionospheric studies over the Indian subcontinent.

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Section: Introductionmentioning

confidence: 75%

Performance of NavIC for studying the ionosphere at an EIA region in India

Ayyagari

Chakraborty

Das

et al. 2020

Advances in Space Research

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“…It is engineered to provide positional accuracy information not only to the Indian users but also to the users within a 1500 km radius around its boundary, defined by a rectangular grid spanning from 30 o S to 50 o N in latitude to 30 o E to 130 o E in longitude (Mruthyunjaya and Ramasubramanian). The reliability of NavIC in exploring the upper atmosphere has already been demonstrated by (Mehulkumar and Shweta, 2018;Desai and Shweta, 2018;Ayyagari et al, 2020;Chakraborty et al, 2020a;Mukesh et al, 2020;Ravi Kumar et al, 2019;Rethika et al, 2015;Sharat et al, 2017;Chakraborty and Datta, 2021;Ayyagari et al, 2021;Sinha et al, 2019;Prajapati et al, 2021;Chakraborty and Datta, 2020;Ayyagari et al, 2019). The signal intensity and accuracy of NavIC satellites have recently been confirmed by (Sharma et al, 2019), to be reliable and used for ionospheric scintillation studies.…”

Section: Introductionmentioning

confidence: 84%

Systematic study of ionospheric scintillation over the indian low-latitudes during low solar activity conditions

Ayyagari

Datta

Chakraborty

2022

Advances in Space Research

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“…The data with sampling interval 5 min is considered. The slant ionospheric delay (I Slantdelay ) obtained from the receiver is converted into VTEC using Equations ( 1) and (2). By applying a suitable mapping function vertical delay (I Verticaldelay ) is obtained to avoid the dependency of elevation angle of the satellite.…”

Section: Methodsmentioning

confidence: 99%

“…This system operates in L5 (1176.45 MHz) and S (2492.028 MHz) band frequencies [1]. In recent performance of NavIC system also evaluated with the Global Positioning System (GPS) data [2][3][4]. The GPS is the first navigational satellite system with global coverage developed by the US Department of Defense.…”

Section: Introductionmentioning

confidence: 99%

Validation of the IRI‐2016 model with Indian NavIC data for future navigation applications

Devireddy

Narsetty

Ramavath

et al. 2020

IET Radar Sonar & Navi

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The position accuracy of Navigation with Indian Constellation (NavIC) system is affected by several sources of errors. Among them, the Ionospheric Time Delay (ITD) error is the most predominant one which depends upon the total electron content (TEC) present in the ionosphere. The ITD variations are more intense over low latitude regions due to the equatorial anomaly effects. Hence, modelling of ITD error is necessary. The International Reference Ionosphere (IRI)‐2016 model is one of the standard global ionospheric models to estimate the Vertical TEC (VTEC). This paper discusses about the VTEC deviations due to the IRI‐2016 model over low latitude Hyderabad station, Indian region using NavIC, Global Positioning System and Global Navigation Satellite System signals at corresponding Ionospheric Pierce Point latitude and longitudes for all months and various Kp indices during the low solar activity year 2017. In this work, cross correlation coefficient, the metric norm (L2N), Symmetric Kullbacke Leibler Distance metrics are used to evaluate the performance of IRI‐2016 model TEC with NavIC, GPS and GLONASS data. From the results, it is found that TEC predicted by the IRI‐2016 model produced smaller estimation errors with NavIC data over Indian region. The obtained results will be helpful for future updates of IRI model.

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Performance analysis of Navigation with Indian Constellation satellites

Cited by 7 publications

References 11 publications

Performance of NavIC for studying the ionosphere at an EIA region in India

Performance of NavIC for studying the ionosphere at an EIA region in India

Systematic study of ionospheric scintillation over the indian low-latitudes during low solar activity conditions

Validation of the IRI‐2016 model with Indian NavIC data for future navigation applications

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