摘要
基于局部多项式傅里叶变换(local polynomial Fourier transform,LPFT),提出了一种新颖有效的窄带多项式相位信号波达方向估计算法。虽然LPFT比Wigner-Ville分布运算复杂,但该变换具有更优的瞬时频率估计能力、较低的交叉项影响,及处理多项式相位信号的能力。理论分析表明,本文方法的信噪比提升能力优于基于Wigner-Ville分布的传统时频子空间多重信号分类(multiple signal classification,MUSIC)法。仿真实验验证了该方法的性能。
Based on local polynomial Fourier transform （LPFT）, a novel efficient narrow-band polynomial phase signal direction of arrival estimation algorithm is presented. Although LPFT is more complex than the Wigner-Ville distribution, it estimates the instantaneous frequency （IF） of signals more accurately, with lower cross-term effects and the ability to deal with polynomial phase signals. Theoretical analysis shows that the signal to noise improved ratio of the method is better than traditional time-frequency multiple signal classification （MUSIC） method based on Wigner-Ville distribution. Simulation results verify the performance of the method.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2012年第11期2203-2207,共5页
Systems Engineering and Electronics
基金
国家自然科学基金(51075175
50977037)
国家高技术研究发展计划(863计划)(2011AA040406)资助课题
关键词
波达方向估计
多项式相位信号
局部多项式傅里叶变换
direction of arrival estimation
polynomial phase signal
local polynomial Fourier transform （LPFT）
