Abstract
In this paper, a new efficient performance evaluation method for digital satellite channels is suggested and its efficiency is verified in terms of computer run-time. We adopt discrete probability mass functions in the suggested method for estimating the statistical characteristics of the received signal from the measured Nth-order central moments to solve the existing difficulties of the importance sampling (IS) techniques. With the discrete probability mass function obtained from fewer received signal samples than those required in IS, the continuous cumulative probability function and its inverse function can be exactly estimated using interpolation and extrapolation techniques. With the simplified channel model, the overall channel performance evaluation can be done within a drastically reduced time. Simulation results applied to a nonlinear digital satellite channel show efficiency in the sense of computer run-time, and demonstrate that the existing problems of IS for nonlinear satellite channels with Mth-order memory can be completely solved.
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