DocumentCode
2147969
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
Volume
2
fYear
1997
fDate
20-22 Aug 1997
Firstpage
645
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/PACRIM.1997.620345
Filename
620345
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