Chorus Signal Positioning Algorithm based on Signal Acquisition Optimization with Mixing Equipment

Chorus signal positioning algorithm based on the signal acquisition optimization with mixing equipment is studied. First, voice activity detection is performed based on the average power and autocorrelation function of each signal, and use a time-varying filter to filter out the noise in each signal. Among them, in the signal acquisition stage, DSP hardware is used effectively to collect the information from various sources, and then use the Kalman filter for preprocessing to eliminate the noise of the data source. Second, a novel chorus signal positioning algorithm is proposed. The positioning accuracy of the five element array is higher than that of the four-element array. Although it cannot be positioned at a long distance, it has fractal characteristics, key model is still selected, to improve the accuracy, mixing equipment is combined. From the final experimental results, the positioning system then realizes the positioning of the sound source in the indoor environment, and the signal processing model is proven to be efficient