摘要
基于小波的宽带互模糊函数可用来对宽带信号的时间延迟和多普勒伸缩进行联合估计 ,但它不能抑制相关高斯噪声 .本文结合小波和高阶累积量 ,给出一种四阶小波累量的定义 ,并在此基础上提出一种基于高阶小波累量的宽带互模糊函数算法 ,该算法能克服传统算法的不足 ,可用于相关性未知的高斯噪声环境 .仿真结果表明了该方法的有效性 .
The wavelet based wideband cross ambiguity function can be used for joint time delay and Doppler stretch estimation. But it cannot suppress the effect due to correlated Gaussian noises. A definition of fourth-order wavelant is given by combining the wavelet and the higher-order cumulant. And a higher-order wavelant based wideband cross ambiguity function algorithm is presented based on the definition. This method can overcome the fault of the traditional algorithm and can be used in unknown correlated Gaussian noise environment. The simulation results are presented to demonstrate the effectiveness of this novel approach.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2005年第3期549-552,共4页
Acta Electronica Sinica
基金
国家自然科学基金重点资助项目 (No .60 2 32 0 1 0 )
高等学校优秀青年教师教学科研奖励计划资助项目
关键词
高阶小波累量
宽带互模糊函数
时间延迟
多普勒伸缩
Algorithms
Computer simulation
Doppler effect
Echo suppression
Estimation
Functions
Gaussian noise (electronic)
Mathematical models
Wavelet transforms
