In order to improve the skid resistance detection technology of highway pavement，this paper summarized the advantages and disadvantages of the traditional pavement noise measurement methods，adopted the vehicle-following method to collect the tie-pavement coupling noise，and optimized the specific positional parameters of the microphone.The speed correction of the equivalent continuous A-weighted sound level was realized through the fitting of driving speed and equivalent continuous A-weighted sound level.The characteristic signal of the tie-pavement coupling noise was extracted by the principal component analysis method，and it can effectively suppress interference signals such as traffic noise，wind noise，and engine noise.The envelope noise energy （ENE） was obtained by integrating the extracted first principal component （F1） in the frequency band of 100?1 000 Hz，so as to characterize the energy of tie-pavement coupling noise generated under the excitation of road surface texture construction.Data fitting of ENE and sideway force coefficient （SFC） in road sections with different degrees of wear was carried out by using SPSS mathematical statistics software.The results indicate that the goodness of fit of ENE and SFC is the highest in the power function model，and R2 is as high as 0.978.