摘要
针对传统方法不适合估计多径时延和难以抑制相关高斯噪声,构造了基于高级累积量的滑动加窗参数估计模型。该模型利用高阶累积量抑制高斯噪声,应用滑动窗充分利用采集数据。通过理论分析和仿真实验表明,该方法能够准确地估计时延,有效地抑制干扰和相关噪声的影响,且在性能估计方面,优于传统基于相关的方法。
As traditional methods are not suitable to estimate muhipath time delay and restrain correlative Gaussian noises, the muhipath time delay estimation model based on moving window using higher order cumulants is established. Higher order cumulants are used to restrain Gaussian noises and the moving window is used to utilize data adequately. Theoretical analysis and simulation experiments indicate that muhipath time delays are precisely estimated with this method, the disturbances and noises are refrained effectively and that the performance of this method is better than that of traditional methods based on correlation.
出处
《现代防御技术》
北大核心
2011年第1期92-95,共4页
Modern Defence Technology
关键词
相关
定位
时延估计
滑动窗
高阶累积量
correlation
location
time delay
moving window
high-order cumulants
