Title :
Adaptive AR modeling of multipath wireless communications channels
Author :
Swarts, Jacobus S. ; Ferreira, Hendrik C. ; Mercer, Chris
Author_Institution :
Rand Afrikaans Univ., Johannesburg, South Africa
Abstract :
In the simulation of a communications channel one should be seeking a model that is simultaneously compact and easy to implement, but also one that sends the channels characteristics to a large degree. The approach that we follow here is to model the channel´s impulse response by using two first order autoregressive (AR) processes. The two models are used to model the I and Q branches of a wideband channel sounder. The parameters of the model are determined using the LMS algorithm. The effectiveness of this approach is then determined by comparing the rms delay spreads of the measured data and that regenerated from a simulation
Keywords :
autoregressive processes; least mean squares methods; multipath channels; transient response; LMS algorithm; adaptive AR modeling; first order autoregressive processes; impulse response; least mean squares; multipath wireless communications channels; rms delay spreads; wideband channel sounder; Autoregressive processes; Delay; Equations; Filters; Predictive models; Stochastic processes; Technological innovation; Time varying systems; White noise; Wireless communication;
Conference_Titel :
Communications, Computers and Signal Processing, 1997. 10 Years PACRIM 1987-1997 - Networking the Pacific Rim. 1997 IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-3905-3
DOI :
10.1109/PACRIM.1997.620345