Sound source location for low-altitude aircraft based on sub-band extraction

Abstract

The acoustic signal of low-altitude aircraft shows regular distribution in frequency and has obvious harmonic crest of both fundamental frequency and double frequency.Therefore, this paper presents a low complexity algorithm of acoustic location based on feature sub-band extraction for low-altitude aircraft. The algorithm firstly searches the eigenfrequency points which occupy the main energy in the sound signal. Then the cost function is constructed based on the MUSIC method by the sub-band corresponding to the eigenfrequency point. Finally, the amplitude is weighted by the maximum ratio combination principle to obtain the spectral function of array space, by which DOA estimation is realized for the spatial spectrum. Simulation results show that the algorithm is less complex than traditional wide-band DOA algorithm, and its main lobe is easier to recognize and has better spatial resolution.

A Survey of Sound Source Localization and Detection Methods and Their Applications

“…The authors assert that this approach demonstrated a notable enhancement compared to the state-of-the-art TDOA-based algorithm. In [ 132 ], the authors presented an extension of the MUSIC algorithm incorporating sub-band extraction. This extension involves identifying sub-bands associated with characteristic frequency points and subsequently conducting Direction of Arrival estimation.…”