摘要
针对现有压控振荡器(VCO)非线性度检测方法可靠性和普适性较差的问题,提出一种集成奇异值分解(SVD)降噪和伪魏格纳威尔分布(PWVD)瞬时频率估计的VCO非线性度检测新方法。该方法首先对待检测对象中频信号进行降噪处理,然后将降噪后的中频信号通过希尔伯特(Hilbert)变换转换为解析信号,最后利用自适应窗长的PWVD瞬时频率估计算法处理解析信号,实现中频信号的瞬时频率估计。仿真结果表明了文中方法的有效性、较强的环境适应能力和普适性。
Considering the bad reliability and universality of the existing VC0 nonlinearity detection methods, a new kind of VCO nonlinearity detection method based on SVD noise reduction and PWVD instantaneous frequency estimation was proposed. In this method, intermediate frequency signal is de-noised firstly, then the de-noised signal is transformed to analytic signal by using hil- bert transform, the instantaneous frequency of the intermediate frequency signal can be estimated by the PWVD instantaneous fre- quency estimation algorithm with adaptive window length dealing with the analytic signal finally. Simulation results show that the method proposed in this paper is effective, possesses good environmental adaptability and universality as well.
出处
《现代雷达》
CSCD
北大核心
2013年第2期56-60,共5页
Modern Radar
基金
国家自然科学基金资助项目(60871098)
重庆市自然科学基金资助项目(CSTC2011BA2015)
关键词
压控振荡器
奇异值分解
伪魏格纳威尔分布
瞬时频率
非线性度检测
voltage controlled oscillation
singular value decomposition
pseudo Wigner-Ville distribution
instantaneous frequen-cy
nonlinearity detection
