Mutil-sensor Track Measurement Based On Information Fusion

Trajectory measurement is an important research issue in the control of mobile things. With the rapid development of electronic technology, measurement technology and computer control technology, people ask for more and more accuracy and speed on the trajectory measurement.Trajectory measurement namely to use the accelerometers and gyroscopes and other inertial devices and Kalman algorithm to estimate trajectory. Trajectory measurements comes from the inertial measurement which is based on the aircraft inertial navigation system and also is a completely self-navigation. It is based on Newton's law of inertia, using inertial components to measure the moving object acceleration which is relative to inertial space, resulting in complete autonomy to get the posture and location information of the moving objects.This use of multiple sensors, combined with the characteristics of pressure waves, has designed a floating body trajectory measurement system which is based on information fusion. Designed the structure for measuring makes the system has the characteristics of resist stormy waves. At the same time the DSP-based module makes the system have a high degree of integration besides high-speed processing capability, suitable for the needs of a variety of occasions. This article should to verify the design from theoretical and experimental.In this paper, the solution methods of the at home and abroad inertial navigation systems and information fusion skill are introduced. Then starting from the measured characteristics of the object and use their properties to design the plan, given the overall framework of the measurement system. Then for the innovation of trajectory measurement and pressure measurement fusion plan doing some experiments to verify it. Analyzing and improving the system to adapt to new problems which is arising in implementation process. At last the article describes the system's hardware architecture.