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Highly maneuvering target tracking using multi-parameter fusion singer model

Journal of Systems Engineering and Electronics 2017年第5期28卷 841-850页

作者： Shuyi Jia Yun Zhang Guohong Wang Research Institute of Information Fusion Naval Aeronautical and Astronautical University Department of Aircraft Engineering Naval Aeronautical and Astronautical University

An algorithm of highly maneuvering target tracking is proposed to solve the problem of large tracking error caused by strong maneuver. In this algorithm, a new estimator, named as multi-parameter fusion singer (MF-singer) model is derived based on the singer model and the fuzzy reasoning method by using radial acceleration and velocity of the target, and applied to the problem of maneuvering target tracking in strong maneuvering environment and operating environment. The tracking performance of the MF-singer model is evaluated and compared with other manuevering tracking models. It is shown that the MF-singer model outperforms these algorithms in several examples.

关键词： maneuvering target multi-parameter fusion singer (MF-singer) fuzzy reasoning singer model

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维普期刊数据库

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Application of interacting multi-model algorithm in gyro signal processing

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High Technology Letters 2014年第4期20卷 436-441页

作者：王萌 Wang Xiaofeng Zhang He Lu Jianshan Zhang Aijun School of Mechanical Engineering Nanjing University of Science & Technology Shanghai Research Institute of Aerospace Information Vehicle Engineering Research Institute Zhejiang University of Technology Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information Ministry of EducationNanjing University of Science & Technology

There is one problem existing in gyroscope signal processing,which is that single models can＇ t adapt to change of carrier maneuvering *** it is difficult to identify the angular motion state of gyroscope carriers,interacting multiple model （IMM） is employed here to solve the *** Kalman filter-based IMM （IMMKF） algorithm is explained in detail and its application in gyro signal processing is *** with the help of the singer model,the system model set of gyro outputs is *** order to demonstrate the effectiveness of the proposed approach,static experiment and dynamic experiment are carried out *** analysis results indicate that the IMMKF algorithm is excellent in eliminating gyro drift errors,which could adapt to the change of carrier maneuvering process well.

关键词： gyro interacting multiple model (IMM) Kalman filter singer model signal processing

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维普期刊数据库

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Random Error Compensation of MEMS Gyroscope Based on Adaptive Kalman Filter

Random Error Compensation of MEMS Gyroscope Based on Adaptiv...

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第32届中国控制与决策会议

作者： Xin Lin Xiaoli Zhang School of Aerospace Engineering Xiamen University

Aiming at the low precision and large random drift of low-cost MEMS gyroscopes,an adaptive Kalman filter compensation method based on singer model is *** from the commonly used time series modeling methods,the singer model is introduced into the random drift modeling of MEMS gyro,which avoids the tedious steps of time series *** on the model,the adaptive Kalman filter based on Allan variance is *** simulation results show that the singer model and the adaptive Kalman filter based on Allan variance can effectively reduce the random error of MEMS gyroscopes,and verify the feasibility of the algorithm and have certain reference value.

关键词： MEMS Gyroscope Random Drift singer model Adaptive Kalman Filter

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