摘要
针对噪声环境下多普勒频率的快速、精确估计问题,提出了一种基于局部频谱连续细化的高精度频率估计算法.该算法先采用快速傅里叶变换对信号进行粗略的频谱估计,获取到感兴趣的窄带频谱范围后,再进行频域细化分析.由于在细化过程中采取时、频域两次加窗技术,将噪声抑制与频谱分析有机地结合在一起,提高了估计精度和频域稳定性,降低了计算量.
To study the problem of fast and accurate Doppler frequency estimation in the noisy environment, this paper presents the algorithm for high-accuracy frequency estimation based on the continuous zoom in the local spectrum. First, the algorithm cursorily estimates the signal spectrum with FFT; then, the narrowband spectrum of interest is obtained; finally, the narrowband spectrum is analyzed by the method of frequency subdivision. Due to adopting twice window functions in time domain and frequency domain during the subdivision process, straining noise and analyzing the spectrum are organically combined. Not only are the estimate precision and frequency stability greatly improved but also the computational quantity is largely reduced.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2007年第1期21-25,共5页
Journal of Xidian University
基金
国家重大基础研究项目(973)资助(A11503020144)
关键词
局部频谱连续细化
高分辨率谱估计
多普勒导航雷达
仿真
continuous zoom in the local spectrum
spectrum estimation with high resolution
Doppler navigation radar
simulation
