北京大学学报（自然科学版）2017，Vol.53Issue(6)：1003-1010,8.DOI:10.13209/j.0479-8023.2017.081
基于UKF算法的高机动机载平台多普勒频移估计
Doppler Frequency Shift Estimation on High-Maneuver Airborne Platform Based on UKF
摘要
Abstract
Aimed to strong nonlinearity on high-maneuvering state and huge Doppler frequency shift of satellite communication, unscented Kalman Filter algorithm was proposed to estimate Doppler frequency shift. UKF Doppler frequency shift estimation models in straight and circle motion were built according to the flight feature of hypersonic aircraft, and models were simulated and analyzed. The result indicates that UKF algorithm estimates more precisely of frequency on high-maneuver airborne platform in satellite communication channel model, which proves the stronger practicability of proposed algorithm.关键词
高机动/多普勒频移/无迹卡尔曼滤波/卫星通信Key words
high-maneuver/Doppler frequency shift/Kalman Filter/satellite communication分类
信息技术与安全科学引用本文复制引用
余怀瑾,依那,蒋伟,杨峰..基于UKF算法的高机动机载平台多普勒频移估计[J].北京大学学报（自然科学版）,2017,53(6):1003-1010,8.基金项目
863计划(61371073)和国家自然科学基金(2012AA01A506)资助 （61371073）
