摘要
针对α和高斯混合噪声背景下的线性极化阵列波达方向和极化参数估计问题,提出了一种基于分数低阶循环相关的子空间-最小范数方法。该方法针对α稳定分布过程的特点,利用信号的循环平稳特性,克服了传统的基于二阶矩或高阶累积量无法用于α噪声背景的缺点,弥补了分数低阶矩对循环平稳干扰信号抑制能力的不足。所采用的子空间-最小范数方法不仅减少了传统MUSIC方法的计算量,而且有效地抑制了分数低阶循环相关函数的估计误差。仿真结果表明,本文算法对α和高斯混合噪声及循环平稳干扰信号的抑制能力明显优于分数低阶矩方法。
A fractional lower order cyclic correlation-based subspace minimum norm method was proposed for the joint estimation of Directions-of-arrival（DOA）and polarization parameters of linear polarization array under mixed noise ofαand/or Gaussian noise.Considering the characteristics ofαstable distribution and using the cycle stationarity of signals,the proposed method overcomes the disadvantages of the traditional second order moment or high order cumulant-based methods,which can not by used underα noise.Using the fractional lower order cyclic correlation method,the proposed method makes up for the lack of cycle stationary disturbance suppression of the traditional fractional lower order moment method.The subspace minimum norm method used in this paper can effectively reduce the computation of the traditional MUSIC method and suppress the estimation errorof the fractional lower order cyclic correlation function.Simulation results show that the proposed method is superior to the fractional lower order moment-based method for the suppression of the cycle stationary disturbance and the mixed noise of and Gaussian noise.
出处
《吉林大学学报（工学版）》
EI
CAS
CSCD
北大核心
2016年第4期1297-1303,共7页
Journal of Jilin University:Engineering and Technology Edition
基金
国家自然科学基金项目(61571209)
关键词
通信技术
极化阵列
稳定分布
最小范数
极化参数
波达方向
communications
polarization array
stable distribution
minimum norm
polarization parameter
direction of arrival（DOA）
