<p>There is a crucial importance of estimation of fading power in a mobile wireless communication system. This estimation is used for many handoff algorithms, power control, and adaptive transmission methods. This estimation of power loss can be used to reduce discrepancies and provide better wireless communication service to the user. Until now the window based weighted sample average estimator was used because of its simplicity. But it has its own disadvantages and hence use of Kalman filtering and adaptive Kalman filtering was proposed. Based on an autoregressive model of shadow fading power, particle filter algorithm is proposed in this paper in order to increase the efficiency of estimation and to obtain accurate results. The simulation and analysis presented in this paper have provided promising and supporting results.</p>
J. S. Gopal, Anita, J. P., and Sudheesh, P., “Particle Filtering Technique for Fast Fading Shadow Power Estimation in Wireless Communication”, 3rd international symposium on signal processing and intelligent recognition systems (SIRS17). Springer International Publishing, Cham, pp. 105-115, 2017.