Implementation Of Tdoa Positioning With Different Arrays Of Microphone Using Gcc-Phat And Chan Algorithm

Abstract

The problem of positioning an unknown target has been one of the most important issues in many fields (radar, sonar, seismology, geophysics, ultrasonic, hands-free communications, etc.). An effective technique in locating a source is based on intersections of hyperbolic curves defined by the time differences of arrival of a signal received at a number of sensors. This paper presents an implementation of TDOA positioning using different arrays of four microphones which are used to receive sound signals. GCC-PHAT is used to estimate time delay and Chan algorithm which is an accurate method of solving hyperbolic equations is used for positioning. We will discuss the effect of different microphone arrays arrangement such as linear, square, rectangle, rhombus, parallelogram, trapezoid and so on and the distance between microphones on accuracy estimation based on some experimental results in room acoustic environments with reverberation and noise.