Passive target tracking method based on received signal strength of wireless sensor network

Abstract

The invention relates to a passive target tracking method based on received signal strength of a wireless sensor network. The method has the following technical characteristics that: the method comprises the following steps that: a node in the wireless sensor network broadcasts data, and all the nodes receive and record the data; the node calculates the absolute value of the difference value between the received signal strength value and the static network data, and calculates the target position likelihood through a passive target tracking model; and the nodes track the target in real time in combination with the target position likelihood through a particle filter algorithm and a parameter estimation algorithm. In the method provided by the invention, the characteristic that the radio frequency signal sent by the wireless sensor network has certain penetrability is fully used, little barriers cannot block the mutual communication between the nodes, and the transmission of the wireless signals cannot be affected by illumination, so that the method can be widely used at night or used for the indoor scenes lack of light, such as a warehouse and a basement.

Description

technical field [0001] The invention belongs to the field of wireless sensors, in particular to a passive target tracking method based on the received signal strength of a wireless sensor network. Background technique [0002] With the wide application of wireless networks, people's demand for target positioning and tracking technology is also increasing. In addition to real-time positioning and tracking of moving people and vehicles in outdoor environments, it is often necessary to obtain people or items in complex indoor environments, especially in high-end residential quarters, exhibition halls, warehouses, supermarkets, and underground parking lots. location information. Due to the constraints of the complexity and uncertainty of the indoor environment, traditional positioning and tracking systems, such as GPS positioning systems and video surveillance systems, have their own limitations. When the GPS positioning system is used indoors, it will be subject to the follow...

AI Technical Summary

Problems solved by technology

However, most of the existing wireless sensor network positioning methods based on received signal strength are active positioning, that is, the target object must carry sensor nodes and receive data from known nodes.

However, this method cannot be used for passive target (passive target) tracking. The characteristics of passive targets are: the target will not actively exchange data with the tracking system, and it is even possible that the tracked target itself does not want to be tracked by the system arrive

Therefore, existing technologies cannot effectively track passive targets

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