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.
出处
《计算机仿真》
CSCD
2004年第12期109-113,共5页
Computer Simulation
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
Cyclostationary signals
Spectral correlation
Time-difference-of-arrival extraction
Computer simulation
