Indoor passive motion detection method and device

Abstract

An embodiment of the invention discloses an indoor passive motion detection method and device. The indoor passive motion detection method includes: obtaining channel state information of each sub carrier after signal demodulation; extracting the characteristic value corresponding to any single channel according to the channel state information; classifying the characteristic values and obtaining the detection result corresponding to the motion behavior; and performing misjudgment correction and leak detection checking for the detection result to obtain the monitoring result. According to the indoor passive motion detection method and device, not any additional software devices are needed to be added, and the positioning cost can be reduced; and the indoor passive motion detection of a wireless local area network is optimized by obtaining and processing the channel state information of all sub carriers and using the narrow-band interference resistance and the time domain stability of the sub carriers, the alarming accuracy is improved, the influence of indoor environment multiple paths when the motion behavior happens can be effectively reduced, and the detection accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of motion detection, in particular to an indoor passive motion detection method and a detection device thereof. Background technique [0002] Motion detection is a basic process of detecting whether there is any entity moving in the region of interest, and its importance is reflected in the fact that more and more mobile / mobile computing applications need to perform this detection. For example, a hospital can monitor a patient's status and issue a health care alarm in time when a patient's disease occurs; enterprises and residential communities can use this technology to monitor abnormal intrusions to strengthen security precautions, etc. Although there are a variety of mobile detection systems, most of them have certain limitations, such as the need for special hardware support, such as acceleration sensors, radar sensors, or photoelectric sensors. below will not work. [0003] Recently, the popularizatio...

AI Technical Summary

Problems solved by technology

In the prior art, there are two main problems in mobile monitoring using wireless signal reception strength: first, the problem of wireless reception signal strength being interfered by narrowband is particularly serious

In the range of 2.4GHz, there are various communication devices such as cordless phones, Bluetooth and ZigBee, etc. This common narrowband device will cause serious interference in measuring RSS. Therefore, the mobile detection system will not be able to distinguish dynamic narrowband interference, and use High probability of false alarms

Second, it is recognized that the measurement of wireless signal strength itself is unstable. As a result, relatively slow movements are easily hidden by inherent errors, resulting in missed detection

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