Statistical Analysis of Positional Variations of NavIc Receiver

• Main Authors: Gusain, Raj, Vidyarthi, Anurag, Prakash, Rishi, Shukla, A.K
• Format: Conference Proceeding
• Language: English
• Subjects: Global navigation satellite system; low latitude in navigation; NavIC; Plasmas; position error; Precise-Point Positioning; Real-time systems; Receivers; Satellite broadcasting; space weathering; Spraying; Statistical analysis; statistical characteristics
• ISSN: 2642-7354
• DOI: 10.1109/ICACCM56405.2022.10009498

With the Precise Point Positioning (PPP) technique, we can accurately determine the location of any user or navigational satellite system receiver within a range of a few centimeters or millimeters. Since PPP is a fundamental requirement in many crucial applications, such as defense for securing sensitive border areas, precision farming for spraying agrochemicals and fertilizers using drones, tourism and navigation in hilly areas, study of natural calamities like seismic events, movement of tectonic plates, Glaciology (study of glaciers), geodetic studies, disaster and relief management. We need the precise x, y, and z positional information of every user or recipient. However, the location determined by GNSS satellites has a number of observational errors that can reduce the positional accuracy of the navigational satellite system by up to a few meters, the most major of which is ionospheric error. In addition to this, a number of other factors, such as low signal strength, low latitude (user or receiver position) lying between 0^{\circ} N/S and 30^{\circ} N/S, low elevation angles of satellites, and space weather events (solar cycle, solar flare, solar radio burst, geomagnetic storm, plasma bubble) end up causing ionospheric scintillations resulting in cycle-slip error or loss of lock of signal that introduces range errors. Cycle-slip errors should be detected and corrected during data pre-processing, and efforts to deal with this serious issue continue to develop new, effective solutions. PPP systems will be highly reliable as long as the GNSS carrier phase signals are continuously monitored. This paper offers a thorough examination of the statistical characteristics such as mean, median, mode, and standard deviation of latitude, longitude, and altitude enabling for the development of a new method that will increase the positional accuracy of GNSS receivers.