distant sound source positioning by a 3d octagonal microphone array optimized by improved weighted beamforming algorithm

Audio source localization is one of the most important topics in different fields of signal processing e.g. entertainment, military and security applications. in this way, this article presents a novel approach for intercepting and localizing distant audio sources using a three-dimensional (3d) octagonal microphone array consisting of 23 microphones. the proposed system employs an efficient algorithm for analyzing the information obtained from the microphone array to accurately determine the spatial position of sound sources across a wide frequency range, from infrasound to ultrasonic frequencies. to validate the system efficiency, numerical simulations were conducted through 80 tests using different audio sources with frequencies ranging from 20 hz to 1 mhz, located at spatial distances of 52 to 402 meters from the array. the results demonstrate the high accuracy of the proposed system in identifying the spatial position of sound sources. the proposed system's performance is optimized using an improved weighted beamforming algorithm, which is implemented in matlab software on a core i7, 64-bit, ram-8gb computer system. the proposed approach has the potential to enhance the capabilities of military and security systems for detecting and localizing sound sources in complex environments.