[1] 傅忠云, 刘文波, 孙金秋,等. 自适应混合滤波算法在微型飞行器姿态估计中的应用[J]. 传感技术学报, 2014,27(5):698-703.(FU Z Y, LIU W B, SUN J Q, et al. Application of adaptive hybrid filter algorithm in the estimation of the micro air vehicle attitude[J]. Chinese Journal of Sensors and Actuators, 2014,27(5):698-703.) [2] 金光明, 张国良, 陈林鹏,等. MEMS陀螺仪静态漂移模型与滤波方法研究[J]. 传感器与微系统, 2007, 26(11):48-50.(JIN G M, ZHANG G L, CHEN L P, et al. Research on filter method and model of MEMS gyro static drift[J]. Transducer and Microsystem Technologies, 2007, 26(11):48-50.) [3] DI L, FROMM T, CHEN Y Q. A data fusion system for attitude estimation of low-cost miniature UAVs[J]. Journal of Intelligent & Robotic Systems, 2012, 65(1):621-635. [4] 彭孝东, 张铁民, 李继宇,等. 基于传感器校正与融合的农用小型无人机姿态估计算法[J].自动化学报, 2015, 41(4):854-860.(PENG X D, ZHANG T M, LI J Y, et al. Attitude estimation algorithm of agricultural small-UAV based on sensors fusion and calibration[J]. Acta Automatica Sinica, 2015, 41(4):854-860.) [5] 贾瑞才. 基于四元数EKF的低成本MEMS姿态估计算法[J]. 传感技术学报, 2014, 27(1):90-95.(JIA R C. Attitude estimation algorithm for low cost MEMS based on quaternion EKF[J]. Chinese Journal of Sensors and Actuators, 2014,27(1):90-95.) [6] 吴涛, 白茹, 朱礼尧,等. 基于卡尔曼滤波的航姿参考系统设计[J]. 传感技术学报, 2016, 29(4):531-535.(WU T, BAI R, ZHU L Y, et al. Design of AHRS based on Kalman filter[J]. Chinese Journal of Sensors and Actuators, 2016, 29(4):531-535.) [7] PAN Y, SONG P, LI K, et al. Attitude estimation of miniature unmanned helicopter using unscented Kalman filter[C]//Proceedings of the 2011 International Conference on Transportation, Mechanical, and Electrical Engineering. Piscataway, NJ:IEEE, 2011:1548-1551. [8] TANG X, WEI J, CHEN K. Square-root adaptive cubature Kalman filter with application to spacecraft attitude estimation[C]//Proceedings of the 201215th International Conference on International Conference on Information Fusion. Piscataway, NJ:IEEE, 2012:1406-1412. [9] EUSTON M, COOTE P, MAHONY R, et al. A complementary filter for attitude estimation of a fixed-wing UAV[C]//Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems. Piscataway, NJ:IEEE, 2008:340-345. [10] WU J, ZHOU Z, CHEN J, et al. Fast complementary filter for attitude estimation using low-cost MARG sensors[J]. IEEE Sensors Journal, 2016, 16(18):6997-7007. [11] WU Z Y, ZENG Y J, SHAO H X, et al. Betterment of attitude estimation based on complementary filter applied in drumstick[C]//Proceedings of the 2012 World Congress on Information and Communication Technologies. Piscataway, NJ:IEEE, 2012:1162-1165. [12] 阎世梁, 王银玲, 张华. 基于改进互补滤波器的低成本微小飞行器姿态估计方法[J]. 计算机应用, 2013, 33(7):2078-2082.(YAN S L, WANG Y L, ZHANG H. Improved complementary filter for attitude estimation of micro air vehicles using low-cost inertial measurement units[J]. Journal of Computer Applications, 2013, 33(7):2078-2082.) [13] 孙金秋, 游有鹏, 傅忠云. 基于自适应显式互补滤波的姿态解算方法[J]. 测控技术, 2015, 34(4):24-27.(SUN J Q, YOU Y P, FU Z Y. Attitude estimation based on adaptive explicit complementary filter[J]. Measurement & Control Technology, 2015, 34(4):24-27.) [14] 秦永元.惯性导航[M].2版.北京:科学出版社, 2014:244-260.(QIN Y Y. Inertial Navigation[M]. 2nd ed. Beijing:Science Press, 2014:244-260.) [15] 梁延德, 程敏, 何福本,等. 基于互补滤波器的四旋翼飞行器姿态解算[J]. 传感器与微系统, 2011, 30(11):56-58.(LIANG Y D, CHENG M, HE F B, et al. Attitude estimation of a quad-rotor aircraft based on complementary filter[J]. Transducer and Microsystem Technologies, 2011, 30(11):56-58.) |