scholarly journals Joint Channel and Carrier Estimation Using Extended Kalman Filter

2013 ◽  
Vol 59 (1) ◽  
pp. 33-39
Author(s):  
Grzegorz Haza

Abstract In this paper a proposal of joint channel and carrier estimation using extended Kalman filter (EKF) is presented. For the proposed algorithm simulations are performed and the results are compared with the separate channel estimation based on the Kalman filter (KF) and carrier estimation based on the extended Kalman filter (EKF).

Author(s):  
Jitender Kapil ◽  
Ghanshyamkumar Sah ◽  
Satyabrata Aich ◽  
Hee-Cheol Kim ◽  
Pyari Mohan Pradhan

The manner towards describing the effect of the bodily channel at the records succession is known as the Channel estimation. The Channel estimation strategies offer low multifaceted nature and better execution and are successfully implemented in correspondence frameworks. Be that as it may, they may be likewise inefficient of statistics transmission considering they use making geared up arrangements to assess the channel, so right right right here; a method is utilized wherein the restrained duration of getting prepared grouping is transmitted. The Kalman based totally calculation which may be finished effectively for channel estimation method. The kalman based calculation channel estimator activates a massive addition in execution even as contrasted with the information simply estimator. This calculation furthermore permits us to count on the scenario of the framework in advance than the threshold is genuinely gotten. In this paper, the channel estimation is completed making use of Kalman based calculation to foresee the price determinations of the situation of framework. Additionally the all out symphonious twisting of the refreshed us of a is determined and restricted inner a particular absolutely worth. The channel under concept is a Rayleigh blurring channel.


Sign in / Sign up

Export Citation Format

Share Document