修正的Monte—carlo方法可以对一般线性系统的检测性能进行有效估计,但对非线性系统的估计则十分困难。本文提出了一种分析与仿真相结合的条件估计抽样法,此法能够较好地解决非线性系统以及存在干扰的系统的检测性能估计问题。运用此法对非线性高斯信道进行了误码率估计,结果表明:条件估计抽样法估计系统检测性能速度快,误差小,十分有效。 The modified Monte-Carlo method can effectively estimate the detection performance of general linear systems, but it is very difficult to estimate the nonlinear systems. In this paper, we propose a sampling method based on the combination of analysis and simulation, which can solve the problem of estimating the detection performance of nonlinear systems and interfering systems. This method is used to estimate the bit error rate of non-linear Gaussian channel. The results show that the condition estimation sampling method is very effective in estimating the performance of the system with fast error and small error.