摘要
基于高阶累积量的LMS自适应滤波算法(CDEFWLMS),对毫秒脉冲星弱信号进行了分析和处理,得到了较清晰的脉冲轮廓,并与普通的LMS算法以及CDLMS算法的结果进行了比较研究。结果表明:高阶统计量自适应滤波算法可以有效的将脉冲星弱信号与噪声分离,相对于NLMS算法,该算法大大提高了信号品质,且具有收敛速度快、稳定性好的特点。
In this paper, one LMS adaptive filtering algorithm based on high order cumulant called CDEFWLMS is analyzed and treated so as to obtain the distinct pulse profile. Mso, the algorithm was compared with classical LMS algorithm and CDLMS algorithm. Analysis and study show that the CDEFWLMS can effectively discriminate pulsar signal from noise with good convergence speed and stability, and greatly improve the signal quality with respect to NLMS method, being feasible in detecting the weak pulsar signal.
出处
《西安理工大学学报》
CAS
北大核心
2009年第1期76-79,共4页
Journal of Xi'an University of Technology
基金
国防重点实验室基金资助项目(9140C3601010901)
陕西省自然科学基金资助项目(2007F12)
陕西省教育厅科技专项基金资助项目(07JK332)
