Channel Model for Indian Regional Navigation Satellite System (IRNSS) using Mixture of Log-Normal (MoLN) distribution in suburban area
Saikat Das, Amit Bhattacharya · 2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) · 2021
Indian Regional Navigation Satellite System (IRNSS) is a newly developed regional navigation satellite system for which channel model characterization is not available in the literature. In a wireless channel random variations of the received signal caused by the composite effect of shadow fading and multipath. Movement of the receiver makes the signal variation more dynamic. In order to model this composite effect statistically, Mixture of Lognormal (MoLN) distribution has been used. A measurement campaign has been carried out for the IRNSS system to record the fading data at L5 band and validation has been done after estimating the channel model parameters with the support of the sophisticated Expectation-Maximization (EM) algorithm. Measuring few metrics like Mean Square Error (MSE), Kullback-Leibler (KL) divergence gives a quantitative analysis of the proposed channel model. It has been shown that the proposed model is acceptable for capturing the combined effect of random shadowing and multipath in the received IRNSS signal, as the model matches the measured data very closely.