一种用来估算非线性有记忆系统检测性能的微扰仿真方法

A Micro-Interference Simulation Technique for Estimating Detected Performance of Nonlinear Memory System

为了解决用Monte-Carlo方法估算非线性有记忆系统检测性能常常带来计算量大的问题,本文提出了一种半分析半仿真的微扰仿真方法。微扰仿真方法用来仿真非线性高斯信道或DS/MSK扩频信号通过非线性系统所获得的计算效率比无非线性情况下的有效重要抽样方法还高,比普通Monte-Carlo方法高3×10~4倍。

To reduce run-time in Monte-Carlo simulation for estimating the detected performance of nonlinear memory system, a new half-analytical and half-simulated method called 'Micro-interference simulation' is proposed. With this method simulating the nonlinear Gaussian channel or the DS/MSK spread spectrum signal through nonlinear system, the efficiency is higher than that of the Efficient Importance Sampling, and about 30000 times as high as that of the common Monte-Carlo method.