Title :
Discrete-time Markov models for path delays in multipath channels
Author :
Sperandio, John C. ; Flikkema, Paul G.
Author_Institution :
Univ. of South Florida, USA
fDate :
29 Sep-2 Oct 1996
Abstract :
We describe a new parameter estimation method for the multipath arrival process in wideband communication channels. Previous efforts have employed the “modified Poisson” or Δ-K model in which path arrivals are modeled as a time-inhomogeneous Markov chain. We improve upon methods used thus far by utilizing maximum-likelihood (ML) estimation of the Markov transition probabilities, or equivalently, the underlying path (bin) occupancy probabilities and clustering coefficients. This model provides a useful statistical description of the rival process for evaluation of multipath-combining receiver structures
Keywords :
Markov processes; delays; discrete time systems; maximum likelihood estimation; multipath channels; parameter estimation; probability; radio receivers; Δ-K model; Markov transition probabilities; clustering coefficients; discrete-time Markov models; maximum-likelihood estimation; modified Poisson model; multipath arrival process; multipath channels; multipath-combining receiver structures; parameter estimation method; path delays; statistical description; underlying path occupancy probabilities; wideband communication channels; Communication channels; Delay; Fading; Integrated circuit modeling; Maximum likelihood estimation; Multipath channels; Parameter estimation; Probability; Spread spectrum communication; Wideband; Wireless communication;
Conference_Titel :
Universal Personal Communications, 1996. Record., 1996 5th IEEE International Conference on
Conference_Location :
Cambridge, MA
Print_ISBN :
0-7803-3300-4
DOI :
10.1109/ICUPC.1996.557759