Target positioning method and device, electronic equipment and storage medium

Abstract

The embodiment of the invention provides a target positioning method and device, electronic equipment and a storage medium. The method comprises the steps that motion information of a preset tracking target is acquired; filtering by adopting the motion information to obtain first prediction information; determining a search area for the first prediction information; and determining second prediction information in the search area by adopting an optimized culture genetic algorithm. According to the embodiment of the invention, the filtering algorithm and the culture genetic algorithm can be combined, and the accuracy of positioning the tracking target is improved.

Description

technical field [0001] The present application relates to the technical field of target tracking, and in particular, to a target positioning method, a target positioning device, an electronic device and a storage medium. Background technique [0002] In many engineering fields, it is often impossible to directly obtain the true value of the required state variables. For example, in the problems of radar detection of aerial targets, UAV target positioning and tracking, etc., due to random interference, the observed signals are often loaded with random noise. . It is difficult to separate the accurate motion state variables of aircraft or land targets from the observation signals mixed with random noise. These state variables can only be estimated or predicted according to the observation signals. In linear systems, Kalman filtering algorithm can effectively reduce the influence of random noise and improve the accuracy of system tracking and positioning. Therefore, the Kalma...

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Problems solved by technology

However, there are always different degrees of nonlinear factors in the actual system, which can easily affect the filtering effect. For example, there are nonlinear factors in the flight state of the aircraft, satellite navigation and other systems.

[0003] Target positioning and tracking: In recent years, industries such as drones and automatic driving have developed rapidly. In the field of aerial photography, aerial photography of drones has become popular. Automatic tracking systems are also widely used in shooting and positioning, but they are blocked by weather and surrounding environments. In the field of communication, the mutual communication between moving targets and the communication between moving targets and stationary targets all rely on automatic tracking technology, such as satellite antenna automatic tracking system, ground moving targets Quasi-satellites realize real-time communication between the ground and satellites; the most fundamental of these applications is the need to accurately locate and track the status of dynamic targets, but due to certain errors in the external environment and tracking systems, in severe cases, it is easy to Lose track of the target, causing serious consequences

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