Research On Low Power Consumption Wake-up Method Of Wireless Terminal Devices

With the continuous development of Internet of Things and Internet Plus,LPWAN technology has drawn more and more attention.LPWAN based on star topology has become one of the main communication methods of wireless terminal devices.Due to the long-term battery life requirements of the wireless terminal devices,terminal devices must be in a state of sleep at most of the time in order to reduce power consumption,so effective control of sleep / wake-up switching become the focus of low-power design research.However,the traditional wake-up mothods have the shortcomings of long windowing time or high false wake-up rate and the rate unable to be evaluated.In view of the above problems,this paper studies the wake-up method of wireless terminal,and used the wake-up method based on pseudo-random sequence self-correlation characteristic.The main research contents are as follows:Firstly,In order to realize the low-power wake-up of the wireless terminal,this paper adopted the bit stream wake-up method.According to the design requirements,the method of pseudo-random sequence autocorrelation is determined on the basis of contrast analysis cycle code,Barker code and pseudo-random sequence characteristics.The method can truncate information from any position of the bit stream to judge whether it should be waken up and the success wake-up rate is high.The non-fixed windowing time method was put forward,and the windowing time was further reduced under the condition that the energy consumption was not increased.Secondly,In order to solve the problem of increasing the wake rate of this wake-up method,a method based on pseudo-random sequence shifting-adding characteristic and the method of twice decoding was proposed,and the feasibility was analyzed.The optimized method reached the purpose of reducing false wake-up rate.Lastly,In order to verify the research results,this paper designed and completed the lighting of the wireless terminal controller in the intelligent community lighting system,which has lights switching,state feedback,working time setting,timing query,fault query and other functions.In this platform this paper did tests such as the basic functions,waken rate,false waken rate and power consumption.The theoretical analysis and experimental results showed that the non-fixed windowing time method reduced the overall windowing time of the system,while the twice decoding self-correlation wake-up method had a very low false wake-up rate.Optimized self-correlation wake-up method based on the combination of the two methods above has a lower power consumption.