| Wireless sensor node localization technology is widely used in the military as well as people’s daily lives.In the test explosion,a large number of randomly distributed sh ock sensor needs to be accurately and quickly locate,traditional targeting methods in accuracy or costs can not meet the requirements.Thus, a system has been proposed to determine the position of the sensor by an acoustic signal,that is based on the time di fference Location Algorithm.Thesis research focused on the study of the beacon signal recognition algorithm sleeve positioning system.This paper analyzes the environmental factors,Including the effects of temperature,atmospheric pressure and water vapor partial pressure, and wind speed,echo-location accuracy,and it gives the equivalent model of wind speed at different heights and measuring wind velocity method.And analyzes the characteristics of the speaker, and according to the feature that Less the number of beacons,it gives the beacon signal coding model.Use Weighted Energy Endpoint Detection Algorithm Based on Entropy and K- means clustering Threshold Estimation Algorithm Separate the encoded signal,experiments show that the method can accurately separate signals at low SNR.using continuous wavelet transform to analyze the separated signals in the time domain and frequency domain to identify the coded signal.simultaneously,combined with Fuzzy C- means clustering algorithm and Fourier transform to accurately identify aliasing.According to feature of the signal,estimated the starting point of signal,and corrected the starting point of the encoded signal by the phasedifference method.Paper presents a beacon signal recognition algorithms in acoustic positioning system,Verified,in the case of 100 kHz sampling frequency, the error between position of the starting point after correction and the actual position of the starting point is less than two sampling points. To meet the needs of engineering, with good engineering significance and practical value. |
PDF Full Text Request