GPS and multi-transducer integrated method for tracing mobile target in real time

Abstract

The invention discloses a GPS and multi-transducer integrated method for tracing a mobile target integrating in real time. The method comprises the following steps that: a multiple-transducer inertial system integrating GPS equipment is constructed, and the multiple-transducer inertial system is arranged on a tracing object and a traced object respectively; the tracing object acquires data by using the system, and can obtain relatively accurate information on positions, heights, speeds and directions of the tracing object and the traced object in real time by adopting Kalman filtering correction treatment; and by using a tracing strategy, the tracing object can dynamically trace the traced mobile object and finally find the traced object.

Description

technical field The invention relates to the technical field of mobile communication positioning, in particular to a real-time tracking method for a moving target integrated with GPS and multiple sensors. Background technique GPS (Global Positioning System) can provide the position, speed and time information of the moving target within the accuracy range acceptable to the user when the receiver can receive more than 4 satellite signals. However, the strength of the GPS signal is related to the location of the user. For example, it is difficult to receive the signal in caves, tunnels, and high-rise buildings in cities. At the same time, the strength of the GPS signal is also affected by the weather. Compared with GPS, the multi-sensor inertial system is more independent and has better immunity to external interference. However, due to the wear and tear of the instrument itself, the sensor will cause deviation, drift and fluctuation of the scaling factor of the measurement ...

AI Technical Summary

Problems solved by technology

The existing methods cannot meet the above requirements, because they are mainly concentrated in the fields of traditional static target vehicle navigation, intelligent search technology and robot path planning, and there are generally problems such as low tracking success rate, high calculation cost, and convergence speed. Slower, low level of intelligence in tracking behavior, unstable performance, complex implementation, etc., which are quite different from the requirements of target tracking in a dynamic and uncertain environment

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