Doppler Frequency Shift Estimation on High-Maneuver Airborne Platform Based on UKF

被引：0

作者：

Yu H. ^{[1
]}

Yi N. ^{[2
]}

Jiang W. ^{[2
]}

Yang F. ^{[3
]}

机构：

[1] The 95696 Troops, Chongqing

[2] School of Electronics Engineering and Computer Science, Peking University, Beijing

[3] Institute of Information and Navigation, Air Force Engineering University, Xi'an

来源：

Beijing Daxue Xuebao (Ziran Kexue Ban)/Acta Scientiarum Naturalium Universitatis Pekinensis | 2017年 / 53卷 / 06期

关键词：

Doppler frequency shift; High-maneuver; Kalman Filter; Satellite communication;

D O I：

10.13209/j.0479-8023.2017.081

中图分类号：

学科分类号：

摘要：

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. © 2017 Peking University.

引用

页码：1003 / 1010

页数：7