计算机工程2011，Vol.37Issue(16)：21-23,32,4.DOI:10.3969/j.issn.1000-3428.2011.16.007
基于支持向量机的频率估计算法
Frequency Estimation Algorithm Based on Support Vector Machine
摘要
Abstract
This paper addresses the problem of carrier frequency recovery in additive noise. Frequency estimation algorithm based on Support Vector Machine(SVM) is derived. The estimator can work efficiently without the need of statistics knowledge of the observations, and the estimation performance is insensitive to the carrier phase; it shows a better performance than traditional Maximum Likelihood(ML) estimation algorithm at low Signal to Noise Ratio(SNR), for SVM-FEA has not the threshold effect.关键词
支持向量机/频率估计/模式识别/最大似然估计/门限效应Key words
Support Vector Machine(SVM)/frequency estimation/pattern recognition/Maximum Likelihood(ML) estimation/threshold effect分类
电子信息工程引用本文复制引用
滕晓云,于宏毅,胡赟鹏..基于支持向量机的频率估计算法[J].计算机工程,2011,37(16):21-23,32,4.基金项目
国家自然科学基金资助项目(60872043) （60872043）
国家“863”计划基金资助项目(2009AA01Z207) （2009AA01Z207）
