Title : 
On appropriate models for characterizing hyper-rayleigh fading
         
        
        
            Author_Institution : 
Sch. of Eng., Univ. of Vermont, Burlington, VT
         
        
        
        
        
            fDate : 
12/1/2008 12:00:00 AM
         
        
        
        
            Abstract : 
Recent work presented empirical data for which the small-scale fading statistics were more severe than Rayleigh; a phenomena deemed hyper-Rayleigh fading. This paper considers whether commonly utilized small-scale propagation models can be appropriately adapted to represent this class of fading. The work argues that the most meaningful model for the hyper- Rayleigh regime is based on a physical wave model (as opposed to stochastic); in particular, the TWDP model, where Deltaap1, holds the greatest promise. The crux of the argument is that the stochastic models significantly over-predict the amount of constructive interference in comparison to what is physically realizable.
         
        
            Keywords : 
Rayleigh channels; statistical analysis; wireless sensor networks; TWDP model; fading statistics; hyper-Rayleigh fading channel; physical wave model; small-scale propagation models; stochastic models; two-wave with diffuse power model; wireless sensor networks; Diversity methods; Fading; Interference; Multipath channels; Power system modeling; Rayleigh channels; Sensor phenomena and characterization; Statistics; Stochastic processes; Wireless sensor networks; Fading channels, multipath channels, wireless sensor networks.;
         
        
        
            Journal_Title : 
Wireless Communications, IEEE Transactions on
         
        
        
        
        
            DOI : 
10.1109/T-WC.2008.070968