Research On Moving Target Tracking Method And System Implementation In Internet Of Things

In recent years,with the rapid development of information technology,Internet of Things(IOT)technology and production have made rapid progress.People's demand for location-based services(LBS)is increasing day by day,making positioning technology become one of the most popular research topics.In this paper,several common wireless positioning methods,such as RSSI,TOA,AOA,DV-HOP and centroid algorithm,are analyzed,and also,their performances are compared.In this paper,A motion parameter capturing method is proposed to jointly estimate the initial positions and velocities of multiple mobile targets in robotic sensor networks.By using the time of arrival(TOA)measurements between the sensor nodes,the proposed method does not require any motion sensors.Non-cooperative unconstrained linear least square(ULLS),constrained linear least square(CLLS),semi-definite programming(SDP),and mixed second order cone semi-definite programming(SOCSDP)algorithms are designed by only exploiting the TOA measurements between anchor nodes and mobile targets.The simulations and real experiments show that the cooperative SDP and SOCSDP algorithms provide better performance than the non-cooperative ULLS,CLLS,SDP and SOCSDP.Compared with the linear ULLS and CLLS,the computation complexity of the convex SDP and SOCSDP is higher for a large number of variables and equality constraints.The positioning error of the SOCSDP is approximately identical to the SDP,but the SOCSDP runs faster than the SDP.Then,the paper analyzes the principle and method of Wi-Fi location,through the pre-data collection and pre-processing,fingerprint database can be created,and then according to the weighted k-nearest neighbor algorithm,the data collected by school wireless access equipment can be analyzed.Combined with the unified identity authentication CAS system,ECharts and other data visualization tools and map services,the location reference information of teachers and students is given for the school decision.Policy provides basis.Finally,the paper analyzes the global positioning system which is widely used in outdoor open areas,introduces the principle and method of global navigation system(GNSS),and builds a set of all-round and traceable real-time visualization system which integrates data collection,location tracking and statistical reports through spring boot,ehcache,adminlte,etc.Through the application and promotion of this technology in the public forest patrol and protection crowd-forest rangers,which are widely used in the field patrol,the problems of complex data collection and loose personnel management in the early days were solved.