Motion target tracking method of asynchronous wireless sensor network

Abstract

The invention discloses a motion target tracking method of an asynchronous wireless sensor network, belonging to the technical field of a wireless network and comprising the following steps: establishing a wireless sensor network and performing network location initialization setting; and emitting signals once at an interval of L numbered clock periods, transmitting the corresponding measurement value to a sink node by each sensor node, and synthesizing a measurement vector by the sink node to be used for displacement evaluation and threshold updating. The method in the invention has good numerical stability, especially under the condition of low speed motion, maintains the precision of technical paper, and has good practical prospect in the sensor network with a larger distribution range.

Description

technical field [0001] The present invention relates to a method in the field of wireless network technology, in particular to a method for tracking a moving target in an asynchronous wireless sensor network based on TDOA (Time Difference of Arrival, signal time difference of arrival). Background technique [0002] In recent years, based on the wireless sensor network (WSN) platform, moving target tracking technology has been more and more practically applied in road monitoring, military reconnaissance, industrial manufacturing, air traffic control and other fields. This is mainly due to the low cost of sensor devices in wireless sensor networks and the development of network information fusion technology. Moving target tracking is an important content in the application of wireless sensor networks. The existing technologies mainly focus on the moving target tracking technology in synchronous wireless sensor networks, while the moving target tracking in asynchronous wireless...

AI Technical Summary

Problems solved by technology

These technologies mainly have the disadvantage of poor precision performance, and also require additional communication between the moving target and the sensor, so these methods cannot be applied to systems with low energy consumption and high requirements for moving target tracking accuracy

[0004] After searching the prior art, it was found that Teng Li, Anthony Ekpenyong and Yih-Fang Hk-k0ang published a paper titled "Sok-k0rce Localization and Tracking K-K0sing Distribk-k0ted" in "IEEE Transactions on Signal Processing" in October 2006. Asynchronok-k0s Sensors (Node Positioning and Tracking of Distributed Asynchronous Sensor Networks)", which records the position and displacement of moving targets using the method of maximum likelihood estimation (MLE) in asynchronous wireless sensor networks The method of joint estimation, this method has superior performance when the moving target is moving at a high speed, but when the moving speed of the moving target is very low, this method has a numerical pathological characteristic, which leads to the failure of tracking the moving target

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