一种基于改进卡尔曼滤波的无人机信道估计算法
|
摘要
主要研究用于无人机下行高速数据链路的信道估计算法,构建了包括正交频分复用(Orthogonal Frequency Division Multiplexing,OFDM)传输系统和无人机常用场景信道冲激响应模型的无人机通信系统。针对无人机通信系统快时变的信道特性,提出了一种基于改进卡尔曼滤波器的信道估计算法。仿真结果表明,该算法可以提高无人机信号估计精度,有效抵抗噪声干扰,并在计算量上有了一定的优化,提高了运行速度。
This paper mainly studies the channel estimation algorithm for the high-speed data downlink of unmanned aerial vehicles(UAV),and constructs a UAV communication system including an Orthogonal Frequency Division Multiplexing(OFDM) transmission system and a UAV common scene channel model.Aiming at the fast time-varying channel characteristics of the UAV communication system,an improved Kalman filter algorithm is proposed.Simulation results show that the improved Kalman filter algorithm can improve the estimated accuracy of the UAV signal,resist the noise interference effectively,and improve the computational complexity and the running speed of the algorithm.
This paper mainly studies the channel estimation algorithm for the high-speed data downlink of unmanned aerial vehicles(UAV),and constructs a UAV communication system including an Orthogonal Frequency Division Multiplexing(OFDM) transmission system and a UAV common scene channel model.Aiming at the fast time-varying channel characteristics of the UAV communication system,an improved Kalman filter algorithm is proposed.Simulation results show that the improved Kalman filter algorithm can improve the estimated accuracy of the UAV signal,resist the noise interference effectively,and improve the computational complexity and the running speed of the algorithm.
引文
[1] Haas E.Aeronautical Channel Modeling[J].IEEE Transactions on Vehicular Technology,2002,51(2):254-264.
[2] 刘晓明,郑英华,刘俊,等.无人机OFDM数据链路中信道估计算法研究[J].计算机仿真,2009,26(8):41-44.
[3] Ji-Woong C,Soohee H,Cioffi J M.An FIR Channel Estimation Filter with Robustness to Channel Mismatch Condition[J].IEEE Transactions on Broadcasting,2008,54(1):127-130.
[4] Foschini G J.Layered Space-time Architecture for Wireless Communicationm a Fading Environment when Using Mufti-element Antennas[J].Bell Labs Technical Journal,2010,1(1):41-59.
[5] Pinkney M F,Hampel D,Dipierro S.Unmanned Aerial Vehicle (UAV) Communications Relay[C]//Proceedings of MILCOM ′96 IEEE Military Communications Conference,Piscataway,USA,1996:47-51.
[6] Byung-Chul K,I-Tai L.Doppler Diversity for OFDM Wireless Mobile Communications.part II:Time-frequency Processing[C]//IEEE Vehicular Technology Conference,2003(4):2682-2685.
[7] 王永寿.无人机的通信技术[J].飞航导弹,2005 (2):20-22.
[8] Cerehie D,Dockter G,Hardesty M.Rapid Development of a Rotorcraft UAV System[C]//AHS International Specialist′s Meeting-Unmanned Rotorcraft:Design,Control and Testing.Chandler,AZ,United States,2005:105-112.
[9] Elnoubi S M.A Simplified Stochastic Model for the Aeronautical Mobile Radio Channel[C]//Vehicular Technology Society 42nd VTS Conference - Frontiers of Technology,Denver,CO,USA,1992:960-963.
[10] Vanhoenacker-Janvier D,Bouchard P,Braten L E,et al.Channel Models for Aeronautical and Low Elevation Radio Links[C]//Antennas and Propagation (EuCAP),2013:3184-3186.
[11] Hijazi H,Ros L.Joint Data QR-detection and Kalman Estimation for OFDM Time-varying Rayleigh Channel Complex Gains[J].IEEE Transactions on Communications,2010,58(1):170-178.
[12] Akashi H,Kumamoto H.Random Sampling Approach to State Estimation in Switching Environments[J].Automatica,1977(13):429-434.
[13] Borah D K,Hart B D.A Robust Receiver Structure for Time-varying,Frequency-flat,Rayleigh Fading Channels[J].IEEE Transactions on Communications,1999,47(3):360-364.
[14] Chen B,Cui Q,Yang F,et al.A Novel Channel Estimation Method Based nn Kalman Filter Compressed Sensing for Time-varying OFDM system[C]//International Conference on Wireless Communications&Signal Processing,2014:1-5.
[15] Julier S J,Laviola J J.On Kalman Filtering with Nonlinear Equality Constrains[J].IEEE Trans on Signal Processing,2007,56(6):2774-2784.
[16] Ki-Young H,Sang-Wook L,Jun-Seok L,et al.Channel Estimation for OFDM with Fast Fading Channels by Modified Kalman Filter[J].IEEE Trans,2004(50):443-449.
[17] Tao Jiang,Sidiropoulos N D,Giannakis G B.Kalman Filtering for Power Estimation in Mobile Communications[J].IEEE Trans.on Wireless Communications,2003(2):151-161.
[18] Van J J de Beek,Edfors O,Sandell M,et al.On Channel Estimation in OFDM systems[C]//Vehicular Technology Conference,Chicago,1995(2):815-819.
[2] 刘晓明,郑英华,刘俊,等.无人机OFDM数据链路中信道估计算法研究[J].计算机仿真,2009,26(8):41-44.
[3] Ji-Woong C,Soohee H,Cioffi J M.An FIR Channel Estimation Filter with Robustness to Channel Mismatch Condition[J].IEEE Transactions on Broadcasting,2008,54(1):127-130.
[4] Foschini G J.Layered Space-time Architecture for Wireless Communicationm a Fading Environment when Using Mufti-element Antennas[J].Bell Labs Technical Journal,2010,1(1):41-59.
[5] Pinkney M F,Hampel D,Dipierro S.Unmanned Aerial Vehicle (UAV) Communications Relay[C]//Proceedings of MILCOM ′96 IEEE Military Communications Conference,Piscataway,USA,1996:47-51.
[6] Byung-Chul K,I-Tai L.Doppler Diversity for OFDM Wireless Mobile Communications.part II:Time-frequency Processing[C]//IEEE Vehicular Technology Conference,2003(4):2682-2685.
[7] 王永寿.无人机的通信技术[J].飞航导弹,2005 (2):20-22.
[8] Cerehie D,Dockter G,Hardesty M.Rapid Development of a Rotorcraft UAV System[C]//AHS International Specialist′s Meeting-Unmanned Rotorcraft:Design,Control and Testing.Chandler,AZ,United States,2005:105-112.
[9] Elnoubi S M.A Simplified Stochastic Model for the Aeronautical Mobile Radio Channel[C]//Vehicular Technology Society 42nd VTS Conference - Frontiers of Technology,Denver,CO,USA,1992:960-963.
[10] Vanhoenacker-Janvier D,Bouchard P,Braten L E,et al.Channel Models for Aeronautical and Low Elevation Radio Links[C]//Antennas and Propagation (EuCAP),2013:3184-3186.
[11] Hijazi H,Ros L.Joint Data QR-detection and Kalman Estimation for OFDM Time-varying Rayleigh Channel Complex Gains[J].IEEE Transactions on Communications,2010,58(1):170-178.
[12] Akashi H,Kumamoto H.Random Sampling Approach to State Estimation in Switching Environments[J].Automatica,1977(13):429-434.
[13] Borah D K,Hart B D.A Robust Receiver Structure for Time-varying,Frequency-flat,Rayleigh Fading Channels[J].IEEE Transactions on Communications,1999,47(3):360-364.
[14] Chen B,Cui Q,Yang F,et al.A Novel Channel Estimation Method Based nn Kalman Filter Compressed Sensing for Time-varying OFDM system[C]//International Conference on Wireless Communications&Signal Processing,2014:1-5.
[15] Julier S J,Laviola J J.On Kalman Filtering with Nonlinear Equality Constrains[J].IEEE Trans on Signal Processing,2007,56(6):2774-2784.
[16] Ki-Young H,Sang-Wook L,Jun-Seok L,et al.Channel Estimation for OFDM with Fast Fading Channels by Modified Kalman Filter[J].IEEE Trans,2004(50):443-449.
[17] Tao Jiang,Sidiropoulos N D,Giannakis G B.Kalman Filtering for Power Estimation in Mobile Communications[J].IEEE Trans.on Wireless Communications,2003(2):151-161.
[18] Van J J de Beek,Edfors O,Sandell M,et al.On Channel Estimation in OFDM systems[C]//Vehicular Technology Conference,Chicago,1995(2):815-819.