Passive multi-target detecting and tracking method based on wireless sensor networks

Abstract

The invention relates to a passive multi-target detecting and tracking method based on wireless sensor networks. The technical scheme of the passive multi-target detecting and tracking method based on the wireless sensor networks comprises the following steps of utilizing a scanning circle windowing detection method to create a sliding scanning circle model of a passive multi-target according to received signal strength of different wireless links in the wireless sensor networks, and utilizing a HAC (Hierarchical Agglomerative clustering) algorithm to perform a clustering analysis so as to extract a detection result; and obtaining a multi-target tracking result of target number changes by utilizing a PHD (Probability Hypothesis Density) passive multi-target particle filter tracking algorithm and according to the detection result. The passive multi-target detecting and tracking method based on the wireless sensor networks is reasonable in design, has high accuracy and robustness in detecting and tracking algorithm, can detect and track multiple targets in a complicated multipath environment, meanwhile, is moderate in computation of target detecting and tracking algorithm, can guarantee the real time of operation of a detecting and tracking system.

Description

technical field [0001] The invention belongs to the technical field of wireless sensor networks, in particular to a passive multi-target detection and tracking method based on wireless sensor networks. Background technique [0002] Wireless Sensor Networks (WSN) is a new network technology that integrates sensor technology, MEMS technology, wireless communication technology and distributed information processing technology. It uses each wireless sensor node as the smallest unit to form a wireless sensor network in a self-organizing manner, and based on this, it senses, collects and processes the information of the environment or monitoring objects in the network area in real time, and converts the processed information Send it to a network terminal or server for further processing and analysis. Many emerging technologies, including the Internet of Things technology, rely on wireless sensor networks as a platform to provide reliable underlying technical support for upper-lay...

AI Technical Summary

Problems solved by technology

This type of method has simple configuration and high tracking accuracy, but there are still some unresolved problems. First, the measurement model used in the existing radio frequency tomography method is only suitable for single-target tracking, and due to the characteristics of imaging, in Fig. Accurate target coordinates cannot be directly obtained; secondly, due to the unique structure of the passive tracking system, there is no relatively mature technology to solve the problem of multi-target positioning and tracking with a variable number of targets

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