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Method for tracking a plurality of equipment-free objects based on multi-channel and support vector regression

A support vector regression and multi-channel technology, applied in the direction of location information-based services, measurement devices, radio wave measurement systems, etc., can solve the problems of limiting the application prospect of object tracking technology, not being applicable to dark scenes, and difficult to invest in large scale , to achieve high real-time performance, short system delay and low cost

Active Publication Date: 2010-06-02
GUANGZHOU HKUST FOK YING TUNG RES INST
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Problems solved by technology

[0004] After searching, it is found that the current methods of object tracking without equipment, such as image technology, infrared technology, pressure technology, ultrasonic technology, etc., have their own limitations. They have high cost, difficult layout, or cannot be applied to dark scenes, etc. defect
Therefore, it is difficult for them to be put into practical applications on a large scale, which greatly limits the application prospects of object tracking technology in practice.

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  • Method for tracking a plurality of equipment-free objects based on multi-channel and support vector regression
  • Method for tracking a plurality of equipment-free objects based on multi-channel and support vector regression
  • Method for tracking a plurality of equipment-free objects based on multi-channel and support vector regression

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Embodiment Construction

[0027] The basic idea of ​​the invention is as figure 1 As shown, first, we deploy a network structure with hexagon as the basic unit, so that the wireless nodes in the entire monitoring area are deployed into many hexagons, and every two adjacent hexagons use different channels for communication, so that Avoid signal interference in adjacent hexagonal areas, thus improving tracking accuracy. In addition, we only need to consider the communication between wireless nodes in the same channel, so the data packet sending time interval set to avoid transmission collision can be very short.

[0028] Each hexagonal area contains seven wireless nodes with a total of six sub-triangles. Such as figure 1 As shown in , the wireless node in the middle keeps on one channel all the time, which is called the center node (Center Node). The six surrounding wireless nodes are called Assistant Nodes. Each node belongs either to a central node or to a secondary node. Of course, the central no...

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Abstract

The invention relates to a method for tracking a plurality of equipment-free objects in real time based on a multi-channel and support vector regression prediction algorithm. The basic method is achieved as follows: the whole monitoring region is divided into different hexagon regions, and nodes in different regions adopt different channels for avoiding interference. Each wireless node in the network is based on synchronization. Each hexagon comprises seven wireless nodes and has six subtriangles. The wireless node in the middle always keeps in one channel, six nodes around the wireless node in the middle are arranged in different time sequences according to the different directions for packet transmission, and all regions are tracked by needing six time slots for each hexagon. In each subtriangle region, the position of each equipment-free object is predicted by using the change value information of the signal receiving strength of each wireless node and adopting the support vector regression prediction algorithm.

Description

technical field [0001] The invention relates to a method for realizing real-time tracking of multiple unequipped objects by using wireless network technology, multi-channel and support vector regression algorithm. The invention solves the difficult problem of being unable to track non-equipment objects in traditional wireless networks, and is a low-cost and high-efficiency non-equipment object tracking technology. The invention belongs to the field of object location tracking and wireless communication. Background technique [0002] Object tracking technology has always been a research hotspot, and has many practical application scenarios, such as vehicle tracking, battlefield detection, animal habitat behavior monitoring and patient detection in hospitals, etc. GPS is a highly accurate tracking technology, but it can only be used outdoors, where satellite signals are blocked. Locating indoor moving objects is more complicated. Laser positioning technology is famous for i...

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Application Information

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IPC IPC(8): H04W4/02G01S5/02
Inventor 张滇杨艳艳
Owner GUANGZHOU HKUST FOK YING TUNG RES INST
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