Augmentation of Indian Regional Navigation Satellite System to Improve Dilution of Precision

Sarma, A. D.; Sultana, Quddusa; Srinivas, Vemuri Satya

doi:10.1017/s037346330999035x

Cited by 18 publications

(6 citation statements)

References 1 publication

(1 reference statement)

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“…Among the published studies on the IRNSS, while some are simulation-based (Mozo Garcia et al, 2010;Sarma et al, 2010;Sekar et al, 2012;Rethika et al, 2013;Rao, 2013), the others are based on using real data. Thoelert et al (2014) assesses the clock stability of IRNSS-1A, while the accuracy of a precise model for solar radiation pressure is tested using the IRNSS-1A and 1B observations in (Kumari et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

IRNSS/NavIC and GPS: a single- and dual-system L5 analysis

Zaminpardaz

Teunissen

Nadarajah

2017

J Geod

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The Indian Regional Navigation Satellite System (IRNSS) has recently (May 2016) become fully-operational. In this contribution, for the fully-operational IRNSS as a standalone system and also in combination with GPS, we provide a first assessment of L5 integer ambiguity resolution and positioning performance. While our empirical analyses are based on the data collected by two JAVAD receivers at Curtin University, Perth, Australia, our formal analyses are carried out for various onshore locations within the IRNSS service area. We study the noise characteristics (carrier-tonoise density, measurement precision, time-correlation), the integer ambiguity resolution performance (success rates and ambiguity dilution of precision (ADOP)), and the positioning performance (ambiguity float and ambiguity fixed). The results show that our empirical outcomes are consistent with their formal counterparts and that the GPS L5-data have a lower noise level than that of IRNSS L5-data, particularly in case of the code data. The underlying model in our assessments varies from standalone IRNSS (L5) to IRNSS+GPS (L5), from unconstrained to height-constrained and from kinematic to static. Significant improvement of ambiguity resolution and positioning performance are achievable upon integrating L5-data of IRNSS with GPS.

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Section: Introductionmentioning

confidence: 99%

IRNSS/NavIC and GPS: a single- and dual-system L5 analysis

Zaminpardaz

Teunissen

Nadarajah

2017

J Geod

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“…When four pseudoranges are observed, then i ranges from 1 to 4. (X s , Y s , Z s ) denotes 3D known geocentric coordinates of satellites and (X u , Y u , Z u ) are unknown geocentric coordinates of the user which are to be computed (Sarma et al, 2010). Similarly, d k pr i is the total atmospheric delay suffered by ith satellites can be represented as,…”

Section: Ionodelay Estimation Using the Local Tse Modelmentioning

confidence: 99%

Estimation of ionospheric delay of NavIC/IRNSS signals using the Taylor Series Expansion

Desai

Shah

2019

J. Space Weather Space Clim.

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The delay in Navigation with Indian Constellation (NavIC)/Indian Regional Navigation Satellite System (IRNSS) signals due to the ionosphere are decisive because it leads to significant changes in the positional accuracy of the system. In this paper, we try to estimate the ionospheric time delay (ionodelay) precisely using the local Taylor Series Expansion (TSE) algorithm for a single frequency NavIC/IRNSS system. The performance of the local TSE algorithm is examined by considering two cases. In case I, the TSE was validated under the influence of an intense geomagnetic storm (8 September 2017) by considering NavIC/IRNSS data from the Indian equatorial and Equatorial Ionization Anomaly (EIA) regions. In case II, based on the quiet and disturbed days data, the local TSE model was examined at different locations in the local area (<10 km) using two NavIC/IRNSS receivers (i.e. reference and rover). The results of ionodelay and positional accuracy (Three Dimensional Distance Root Mean Square [3DRMS], Circular Error Probability [CEP], and Spherical Error Probability [SEP]) of NavIC/IRNSS for both the cases indicates that the single frequency local TSE algorithm performs the same as the reference dual frequency model, where as the global eight coefficient Klobuchar and the regional Grid Ionospheric Vertical Error (GIVE) model behaves differently. Therefore, the single-frequency TSE model improves the performance of the NavIC/IRNSS receiver in the local area, and the mathematical coefficient computation and additional frequency hardware cost have been reduced, with the acceptance of a maximum 0.8 m of errors.

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“…In this area the system is designed to provide its users with a position accuracy of less than 10m (2σ ). The secondary service area extends between latitudes 30 • S to 50 • N and longitudes 30 • E to 130 • E with an expected positioning accuracy of 20 m over the Indian ocean (Sarma et al, 2010;Ganeshan, 2012;Saikiran and Vikram, 2013).…”

Section: The Irnss Systemmentioning

confidence: 99%

“…IRNSS will consist of three geosynchronous orbit (GEO) satellites and four inclined geosynchronous orbit (IGSO) satellites (see Figure 1(a),(b)), providing two types of services: a standard positioning service (SPS) for civilian users and a restricted service (RS) for authorised users (ISRO, 2014a). The expected positioning accuracy of IRNSS is 10 m (2σ ) over the Indian landmass and 20 m over the Indian Ocean, covering regions located up to 1500 km from India between longitude 30 • E and 130 • E and between latitude 30 • S and 50 • N (Sarma et al, 2010;Ganeshan, 2012;Saikiran and Vikram, 2013).…”

mentioning

confidence: 99%

“…A few published studies have hitherto been devoted to the IRNSS. Next to the simulation-based studies (Mozo Garcia et al, 2010;Sarma et al, 2010;Sekar et al, 2012;Rethika et al, 2013;Rao, 2013), some newer studies make use of real IRNSS data. Thoelert et al (2014) characterised the IRNSS signals by means of data from a high-gain antenna, and assesses the clock stability of IRNSS-1A.…”

mentioning

confidence: 99%

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IRNSS stand-alone positioning: first results in Australia

Zaminpardaz

Teunissen

Nadarajah

2016

Journal of Spatial Science

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The Indian Regional Navigation Satellite System (IRNSS) currently under development is expected to reach full operational capability before 2017. As a large part of the Australian continent lies in IRNSS' service area, it is important to gain an understanding of its navigational potential and actual positioning capabilities for Australian users. The goals of this contribution are therefore to provide insight into IRNSS, to demonstrate its current positioning performance using actual L5 pseudorange tracking data, and to analyse its expected positioning performance for when the system is fully operational. As such this contribution provides the very first results of the IRNSS stand-alone positioning capabilities over Australia.

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Augmentation of Indian Regional Navigation Satellite System to Improve Dilution of Precision

Cited by 18 publications

References 1 publication

IRNSS/NavIC and GPS: a single- and dual-system L5 analysis

IRNSS/NavIC and GPS: a single- and dual-system L5 analysis

Estimation of ionospheric delay of NavIC/IRNSS signals using the Taylor Series Expansion

IRNSS stand-alone positioning: first results in Australia

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