论文部分内容阅读
在特征评估或者模型验证中,信号统计特征是完整描述和预测非线性系统输出的关键。传统的描述信号特征的方法是基于它的功率谱密度PSD和概率密度函数PDF,有其局限性。通过介绍无线电信号的高阶统计量计算,估算和修正信号的高阶自相关,表明对现代的信号处理研究,基于高阶统计量计算实际中的微波信号是可行的,可以完整描述信号特征。
Signal statistics are the key to a complete description and prediction of nonlinear system output during feature evaluation or model verification. The traditional method of describing signal characteristics is based on its power spectral density PSD and probability density PDF, which has its limitations. By introducing higher-order statistics of radio signals, the high-order autocorrelation of signals is estimated and corrected. It shows that it is feasible to study the modern signal processing and calculate the actual microwave signals based on higher-order statistics, which can fully describe the signal characteristics.