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The symmetrical n-k distribution

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4 Author(s)
M. D. Yacoub ; DECOM/FEEC/Unicamp, Campinas, Brazil ; G. Fraidenraich ; H. B. Tercius ; F. C. Martins

This paper specializes and parameterizes the general result presented elsewhere in the literature in order to propose, fully characterize, and investigate the symmetrical n-k distribution. It yields estimators for the involved parameters and uses field measurements to validate the distribution. The symmetrical n-k distribution includes, as special cases, important distributions such as Rayleigh, Rice, Hoyt, Nakagami-q, and one-sided Gaussian. The fact that the symmetrical n-k distribution has one more parameter than the well-known distributions renders it more flexible. Of course, in situations in which those distributions included in it give good results a better fitting is given by the symmetrical n-k distribution. In addition, in many other situations in which these distributions give poor results a good fitting may be found through the symmetrical n-k distribution. More specifically, its non-monomodal feature finds applications in several circumstances, examples of which are given in this paper.

Published in:

Personal, Indoor and Mobile Radio Communications, 2004. PIMRC 2004. 15th IEEE International Symposium on  (Volume:4 )

Date of Conference:

5-8 Sept. 2004