Acoustic localization algorithm and accuracy analysis based on region division

At present, the space intersection acoustic localization algorithm based on Time Difference of Arrival (TDOA) only uses a simplex localization method. We herein propose an acoustic localization algorithm based on region division. In this algorithm, we set four spatial six-element arrays, confirm the array parameters based on the principle of minimizing the mean value of area errors, and then divide such area into 16 sub-regions, to each of which we apply different localization algorithm. With fireworks as the sound source, we randomly selected three sound source points in a plot in suburban of Beijing with area of 200 m×200 m, and carried out repeated experiments for three times at each point. The localization errors at the three points are all less than 1 m.