TITLE:
Second-Order Kalman Filtering Application to Fading Channels Supported by Real Data
AUTHORS:
Azra Kapetanovic, Redhwan Mawari, Mohamed A. Zohdy
KEYWORDS:
Kalman Filtering, Rayleigh, Gaussian, Multipath, Shadowing, Power Estimation
JOURNAL NAME:
Journal of Signal and Information Processing,
Vol.7 No.2,
May
12,
2016
ABSTRACT: The lack of effective techniques for
estimation of shadow power in fading mobile wireless communication channels
motivated the use of Kalman Filtering as an effective alternative. In this
paper, linear second-order state space Kalman Filtering is further investigated
and tested for applicability. This is important to optimize estimates of
received power signals to improve control of handoffs. Simulation models were
used extensively in the initial stage of this research to validate the proposed
theory. Recently, we managed to further confirm validation of the concept
through experiments supported by data from real scenarios. Our results have
shown that the linear second-order state space Kalman Filter (KF) can be more
accurate in predicting local shadow power profiles than the first-order Kalman
Filter, even in channels with imposed non-Gaussian measurement noise.