An analytical model of maximal ratio combining systems in K-distribution fading channel and multiple co-channel interferers
作者： T Sriv , C Chayawan , W Kumwilaisak
DOI: 10.1109/ICON.2005.1635661
关键词: Computer science 、 Stochastic process 、 Statistics 、 Maximal-ratio combining 、 Statistical physics 、 Fading 、 Probability density function 、 Invariant (mathematics) 、 Channel state information 、 Fading distribution 、 K-distribution 、 Communication channel
摘要: In this paper, we investigate the problem of modelling multi-path fading channel using maximal ratio combining technique as a spherically invariant random process. The process is known to have many Gaussian-like properties and be appropriate for some practical environments. To more specific, K-distribution, which process, chosen model channel. new expressions probability density functions outage probabilities signal-to-interference are derived cases equal mean powers different interferers. Some numerical results were done show behaviors performance proposed systems.
sci-hub.se 参考文章(19)
A. Abdi, H.A. Barger, M. Kaveh, Signal modelling in wireless fading channels using spherically invariant processes international conference on acoustics, speech, and signal processing. ,vol. 5, pp. 2997- 3000 ,(2000) , 10.1109/ICASSP.2000.861165
M. Rangaswamy, Spherically invariant random processes for modeling non-Gaussian radar clutter asilomar conference on signals, systems and computers. pp. 1106- 1110 ,(1993) , 10.1109/ACSSC.1993.342399
G. Ricci, Marco Lops, E. Conte, Distribution-free radar detection in compound-gaussian clutter ieee international radar conference. pp. 98- 101 ,(1992)
E. Jakeman, P. Pusey, A model for non-Rayleigh sea echo IEEE Transactions on Antennas and Propagation. ,vol. 24, pp. 806- 814 ,(1976) , 10.1109/TAP.1976.1141451
A. M. Vershik, Some Characteristic Properties of Gaussian Stochastic Processes Theory of Probability and Its Applications. ,vol. 9, pp. 353- 356 ,(1964) , 10.1137/1109053
E. Conte, M. Longo, M. Lops, Modelling and simulation of non-Rayleigh radar clutter IEE Proceedings F Radar and Signal Processing. ,vol. 138, pp. 121- 130 ,(1991) , 10.1049/IP-F-2.1991.0018
Andrew G. Glen, Lawrence M. Leemis, John H. Drew, Computing the distribution of the product of two continuous random variables Computational Statistics & Data Analysis. ,vol. 44, pp. 451- 464 ,(2004) , 10.1016/S0167-9473(02)00234-7
V.A. Aalo, C. Chayawan, Outage probability of cellular radio systems using maximal ratio combining in Rayleigh fading channel with multiple interferers Electronics Letters. ,vol. 36, pp. 1314- 1315 ,(2000) , 10.1049/EL:20000910
Fang Sujuan, Li Wugao, Zhu Dejun, Modeling and simulation of non-Gaussian correlated clutter international radar conference. pp. 195- 199 ,(1996) , 10.1109/ICR.1996.573805
Jian Cui, A.U.H. Sheikh, Outage probability of cellular radio systems using maximal ratio combining in the presence of multiple interferers IEEE Transactions on Communications. ,vol. 47, pp. 1121- 1124 ,(1999) , 10.1109/26.780445