A multi-human target positioning and tracking method based on multi-channel phase comparison positioning

Abstract

The invention discloses a positioning and tracking method for multiple human targets based on multi-receiving channel phase comparison positioning, which is based on a linear frequency modulation continuous wave radar system with single transmission and multiple reception, and uses the method of moving target display and mean value removal to preprocess the experimental data , and do double interpolation for each period of the echo data to refine the range Vega window Fourier transform, and obtain the distance information of the target according to the distance spectrum of the target; extract the corresponding phase of the target from the peak of the target spectrum information; and then fuse the phase information of different receiving channels to calculate the phase difference between different receiving channels, convert the azimuth or elevation angle of the target, and calculate the positioning result of the target on the two-dimensional or three-dimensional plane combined with the target distance information; finally The method of Kalman filter is used to realize the tracking of the target. The invention can detect, locate and track a plurality of indoor and outdoor human targets, can effectively eliminate multi-paths while retaining the targets, and realize accurate positioning of the targets.

Description

technical field [0001] The invention relates to the technical field of radar target positioning and tracking, in particular to a positioning and tracking method for multiple human targets. Background technique [0002] In many detection systems, the detection and location tracking of moving human targets have important applications. For example, in the field of smart home, house monitoring can be realized; in the field of vehicle radar, various functions such as unmanned driving and collision avoidance can be realized. [0003] Many research institutions at home and abroad have carried out research on the positioning and tracking of moving human targets. University of Electronic Science and Technology of China proposed a joint multi-target detection and localization method based on noncoherent MIMO radar system (Y.Ai, W.Yi, M.R.Morelande and L.J.Kong, "Joint multi-target detection and localization with a noncoherent statistical MIMO radar , "International Conf.on Informati...

AI Technical Summary

Problems solved by technology

[0004] The above method has a complex algorithm flow and high computational complexity, but in the actual target positioning and tracking occasions, a certain real-time performance is required

Images