In this study the sound localization is implemented to find the impact position on the surface of a glass plate using acoustical sensors. As an experimental example, the sound caused by ping pong ball impact on the glass plate is used. Most of the published paper algorithms are based on using large number of sensor with high sampling rates. In this study a new method is extended due to sound localization. In the proposed method, by reducing the number of sensors into two, a pattern for secondary points is extended. In the specified pattern, locations of points are restricted according to the sensors signal frequency specification. To achieve this goal, a database is gathered from sound caused by ball impact on the glass plate. Furthermore, in order to specify sound localization, space feature based on entropy of wavelet transform coefficient signals from frequency domain of impacts and geometrical specification was extracted. Finally by implementing signal processing into the data the location of impacts are specified. The results show average values of error and Standard deviation 17 centimeter and 1.34, respectively.