Article | 15-March-2019
M. R. Irshad,
R. Maya
Statistics in Transition New Series, Volume 19 , ISSUE 4, 597–620
Article | 20-September-2020
Rama Shanker,
Kamlesh Kumar Shukla
Statistics in Transition New Series, Volume 21 , ISSUE 3, 53–71
Research Article | 27-December-2017
In this paper accurate estimation of parameters, higher order state space prediction methods and Extended Kalman filter (EKF) for modeling shadow power in wireless mobile communications are developed. Path-loss parameter estimation models are compared and evaluated. Shadow power estimation methods in wireless cellular communications are very important for use in power control of mobile device and base station. The methods are validated and compared to existing methods, Kalman Filter (KF) with
George P. Pappas,
Mohamed A. Zohdy
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 2, 898–924