周期谱相关在连续波信号时差提取中的应用  

Application of Spectral Correlation Theory in Time-Difference-of-Arrival Extraction

作　　者：李剑锋[1] 吕泽均[2] 王绪本[1] 

机构地区：[1]成都理工大学,四川成都610059 [2]中国电子科技集团第十研究所,四川成都610036

出　　处：《计算机仿真》2004年第12期109-113,共5页Computer Simulation

摘　　要：以周期谱相关理论为基础,分析了信号的二阶周期平稳特性及其在连续波信号时差提取中的应用,介绍了四种时差提取的算法模型,这些算法比传统的互相关方法具有更强的抑制噪声和干扰的能力,适用于低信噪比的情况。为了验证这些模型所具有的强噪声抑制能力,同时为工程实现选择最佳的算法模型,在MATLAB中对所给的几种模型进行了计算机仿真实验,并且作了定性和定量的分析比较,结果显示周期谱相关时差提取算法具有极强的抑制噪声的能力,为工程实现探索了可行的途径。Based on the spectral correlation theory,the second-order cyclostationarity of cyclostationary signals is briefly discussed and then it is used for the TDOA estimation of continuous wave signals.Four models and algorithms based on this theory are introduced. These methods are more robust against noise and interference than the conventional generalized cross-correlation methods, which can work in highly corruptive environment. In order to evaluate these given models and to find the most practicable model, computer simulations are performed and then analyzed qualitatively and quantitatively. The simulation results confirmed the high tolerance to noise of these methods mentioned above and also showed the feasible method in practice.

关 键 词：周期平稳信号 周期谱相关 到达时差提取 计算机仿真 

分 类 号：TN95[电子电信—信号与信息处理]