Integrated GPS/INS systems have applications in many different fields. It has been recognized that tightly coupled GPS/INS performance is superior to loosely coupled. The tightly coupled system uses raw data of GPS...Integrated GPS/INS systems have applications in many different fields. It has been recognized that tightly coupled GPS/INS performance is superior to loosely coupled. The tightly coupled system uses raw data of GPS as measurements, such as pseudorange, carrier phase. This paper presents two antenna GPS carrier phase measurements to stabilize the azimuth of integrated system. The test results for the integrated system show an attitude accuracy of up to 0.1° (RMS) for pitch and roll, and up to 0.03°(RMS) for azimuth when baseline is 7 8m. The system by this integration can provide the position and velocity of high accuracy too.展开更多
To improve the navigation accuracy of an autonomous underwater vehicle （AUV）, a novel terrain passive integrated navigation system （TPINS） is presented. According to the characteristics of the underwater environme...To improve the navigation accuracy of an autonomous underwater vehicle （AUV）, a novel terrain passive integrated navigation system （TPINS） is presented. According to the characteristics of the underwater environment and AUV navigation requirements of low cost and high accuracy, a novel TPINS is designed with a configuration of the strapdown inertial navigation system （SINS）, the terrain reference navigation system （TRNS）, the Doppler velocity sonar （DVS）, the magnetic compass and the navigation computer utilizing the unscented Kalman filter （UKF） to fuse the navigation information from various navigation sensors. Linear filter equations for the extended Kalman filter （EKF）, nonlinear filter equations for the UKF and measurement equations of navigation sensors are addressed. It is indicated from the comparable simulation experiments of the EKF and the UKF that AUV navigation precision is improved substantially with the proposed sensors and the UKF when compared to the EKF. The TPINS designed with the proposed sensors and the UKF is effective in reducing AUV navigation position errors and improving the stability and precision of the AUV underwater integrated navigation.展开更多
To obtain the coupling characteristics between slab wave-guides including left-handed material,we modify the coupled wave equations by using Maxwell’s equations. First,we obtain new-coupled wave equations and new-cou...To obtain the coupling characteristics between slab wave-guides including left-handed material,we modify the coupled wave equations by using Maxwell’s equations. First,we obtain new-coupled wave equations and new-coupling coefficient. Second,the coupling between two identical five-layer slab wave-guides where their cores are left-handed material,but their claddings are right-handed materials is studied. The coupling coefficient for even TE mode which is more complex than that of the riglt-handed material slab wave guides,is obtained.展开更多
The efficient and accurate approximate nonlinear filters have been widely used in the estimation of states and parameters of dynamical systems. In this paper, an adaptive divided difference filter is designed for prec...The efficient and accurate approximate nonlinear filters have been widely used in the estimation of states and parameters of dynamical systems. In this paper, an adaptive divided difference filter is designed for precise estimation of states and parameters of micromechanical gyro navigation system. Based on the investigation of nonlinear divided difference filter the adaptive divided difference filter(ADDF) was designed, which takes account of the incorrect time-varying noise statistics of dynamical systems and compensation of the nonlinearity effects neglected by linearization. And its performance is superior to that of DDF and extended Kalman filter(EKF). Simulation results indicate that the advantages of the proposed nonlinear filters make them attractive alternatives to the extended Kalman filter.展开更多
The Successive Orthogonalization Decentralized Kalman Filter (SODKF ) is a new method which is used for large system state estimation. It can be applied not only to large system decentralization, but also to precisi...The Successive Orthogonalization Decentralized Kalman Filter (SODKF ) is a new method which is used for large system state estimation. It can be applied not only to large system decentralization, but also to precision realization at approximately the same level of the global filter, thus, making possible the engineering operation as well as shortening the computing time. This paper discusses the principles and features of SODKF when used in GPS/INS integrated navigation system. The system will be firstly divided into three subsystems and then corrected in both open and closed loops. The system simulation results by two integrated patterns show that SODKF is efficient and realizable. While the three subsystems are simulated in series, the computing speed doubles that of the global system. In addition, its optimal estimating precision remains unchanged. It can be concluded from this paper that large integrated navigation systems with GPS, INS, Terrain Match, Loran C, Doppler Radar and Radio Altimeter can be made more efficient by this multi subsystem of navigation.展开更多
In this paper,we simulate,verify,and compare the performance of three classical geomagnetic matching aided navigation algorithms to assess their applicability to hypersonic vehicle navigation.Firstly,we introduce the ...In this paper,we simulate,verify,and compare the performance of three classical geomagnetic matching aided navigation algorithms to assess their applicability to hypersonic vehicle navigation.Firstly,we introduce the various sources of the geomagnetic field.Secondly,we describe the principles and processes of the geomagnetic contour matching(MAGCOM)algorithm,iterative closest contour point(ICCP)algorithm,and Sandia inertial magnetic aided navigation(SIMAN)algorithm.Thirdly,we discuss the principles of inertial/geomagnetic integrated navigation,and propose the state and observation equations of integrated navigation.Finally,we perform a simulation of inertial/geomagnetic integrated navigation on the hypersonic boost-glide vehicle trajectory.The simulation results indicate that the real-time performance of the SIMAN algorithm can be optimized such that the matching accuracy is higher than that of the other two algorithms.At the same time,the SIMAN algorithm can achieve better stability,and though the amount of measurement noise can be larger,it can still achieve good positioning accuracy.展开更多
文摘Integrated GPS/INS systems have applications in many different fields. It has been recognized that tightly coupled GPS/INS performance is superior to loosely coupled. The tightly coupled system uses raw data of GPS as measurements, such as pseudorange, carrier phase. This paper presents two antenna GPS carrier phase measurements to stabilize the azimuth of integrated system. The test results for the integrated system show an attitude accuracy of up to 0.1° (RMS) for pitch and roll, and up to 0.03°(RMS) for azimuth when baseline is 7 8m. The system by this integration can provide the position and velocity of high accuracy too.
基金Pre-Research Program of General Armament Department during the11th Five-Year Plan Period (No51309020503)the National Defense Basic Research Program of China (973Program)(No973-61334)+1 种基金the National Natural Science Foundation of China(No50575042)Specialized Research Fund for the Doctoral Program of Higher Education (No20050286026)
文摘To improve the navigation accuracy of an autonomous underwater vehicle （AUV）, a novel terrain passive integrated navigation system （TPINS） is presented. According to the characteristics of the underwater environment and AUV navigation requirements of low cost and high accuracy, a novel TPINS is designed with a configuration of the strapdown inertial navigation system （SINS）, the terrain reference navigation system （TRNS）, the Doppler velocity sonar （DVS）, the magnetic compass and the navigation computer utilizing the unscented Kalman filter （UKF） to fuse the navigation information from various navigation sensors. Linear filter equations for the extended Kalman filter （EKF）, nonlinear filter equations for the UKF and measurement equations of navigation sensors are addressed. It is indicated from the comparable simulation experiments of the EKF and the UKF that AUV navigation precision is improved substantially with the proposed sensors and the UKF when compared to the EKF. The TPINS designed with the proposed sensors and the UKF is effective in reducing AUV navigation position errors and improving the stability and precision of the AUV underwater integrated navigation.
基金Creative Graduate Student Foundation of Shanghai University (A.16-0107-07-001)
文摘To obtain the coupling characteristics between slab wave-guides including left-handed material,we modify the coupled wave equations by using Maxwell’s equations. First,we obtain new-coupled wave equations and new-coupling coefficient. Second,the coupling between two identical five-layer slab wave-guides where their cores are left-handed material,but their claddings are right-handed materials is studied. The coupling coefficient for even TE mode which is more complex than that of the riglt-handed material slab wave guides,is obtained.
文摘The efficient and accurate approximate nonlinear filters have been widely used in the estimation of states and parameters of dynamical systems. In this paper, an adaptive divided difference filter is designed for precise estimation of states and parameters of micromechanical gyro navigation system. Based on the investigation of nonlinear divided difference filter the adaptive divided difference filter(ADDF) was designed, which takes account of the incorrect time-varying noise statistics of dynamical systems and compensation of the nonlinearity effects neglected by linearization. And its performance is superior to that of DDF and extended Kalman filter(EKF). Simulation results indicate that the advantages of the proposed nonlinear filters make them attractive alternatives to the extended Kalman filter.
文摘The Successive Orthogonalization Decentralized Kalman Filter (SODKF ) is a new method which is used for large system state estimation. It can be applied not only to large system decentralization, but also to precision realization at approximately the same level of the global filter, thus, making possible the engineering operation as well as shortening the computing time. This paper discusses the principles and features of SODKF when used in GPS/INS integrated navigation system. The system will be firstly divided into three subsystems and then corrected in both open and closed loops. The system simulation results by two integrated patterns show that SODKF is efficient and realizable. While the three subsystems are simulated in series, the computing speed doubles that of the global system. In addition, its optimal estimating precision remains unchanged. It can be concluded from this paper that large integrated navigation systems with GPS, INS, Terrain Match, Loran C, Doppler Radar and Radio Altimeter can be made more efficient by this multi subsystem of navigation.
基金supported by the Space Science and Technology Innovation Fund of China(No.2016KC020028)the Fund of China Space Science and Technology(No.2017-HT-XG)。
文摘In this paper,we simulate,verify,and compare the performance of three classical geomagnetic matching aided navigation algorithms to assess their applicability to hypersonic vehicle navigation.Firstly,we introduce the various sources of the geomagnetic field.Secondly,we describe the principles and processes of the geomagnetic contour matching(MAGCOM)algorithm,iterative closest contour point(ICCP)algorithm,and Sandia inertial magnetic aided navigation(SIMAN)algorithm.Thirdly,we discuss the principles of inertial/geomagnetic integrated navigation,and propose the state and observation equations of integrated navigation.Finally,we perform a simulation of inertial/geomagnetic integrated navigation on the hypersonic boost-glide vehicle trajectory.The simulation results indicate that the real-time performance of the SIMAN algorithm can be optimized such that the matching accuracy is higher than that of the other two algorithms.At the same time,the SIMAN algorithm can achieve better stability,and though the amount of measurement noise can be larger,it can still achieve good positioning accuracy.
