Please use this identifier to cite or link to this item: http://ir.mu.ac.ke:8080/jspui/handle/123456789/9046
Title: The analytical modelling and the estimation of the signal to noise ratio for the GNSS receiver
Authors: Madonsela, Bheki
Mukubwa, Emmanuel Wanyama
Davidson, Innocent E.
Keywords: Signal-to-noise
Global Navigation Satellite System
Issue Date: 2023
Publisher: IEEE
Abstract: The Global Navigation Satellite Systems (GNSS) receivers either mobile or immobile are susceptible to Signal to Noise Ratio (SNR) losses. The SNR is also known as C/N_0 and is caused by the quantization, processing, filtering and sampling in the GNSS receiver. In this paper, the signal losses in GNSS receivers is analyzed in terms of maintaining the acceptable SNR. This proposed model addresses the digitization of the GNSS signal received from the space and provide the comprehensive analysis of the SNR losses with the presence of the additive Gaussian noise and signal interference. The analysis of the SNR measurements and losses is very crucial for all GNSS applications, either mobile or immobile GNSS receivers. Poor SNR can also mean there is a possibility of the GNSS multipath caused by enormous time delays for the replicated signals.
URI: https://doi.org/10.1109/AFRICON55910.2023.10293484
http://ir.mu.ac.ke:8080/jspui/handle/123456789/9046
Appears in Collections:School of Engineering

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