Adaptive selection of the sounding direction in acoustic systems based on super-resolution direction finding of interference sources. Part 2

This study investigates the resolution performance of the Capon and MUSIC super-resolution direction-of-arrival (DOA) estimation methods for localizing broadband acoustic interference in atmospheric monitoring systems. The relevance of this research is driven by the need to improve the interference immunity of sodar systems operating in environments characterized by intense anthropogenic and natural acoustic noise. The study analyzes the dependence of the principal DOA estimation performance metrics–the depth of the valley between adjacent peaks in the spatial spectrum and the minimum resolvable angular separation–on the interference-to-internal-noise ratio, the observation interval, and the number of antenna array elements. Numerical simulations were performed using real-world recordings of acoustic interference. The resulting quantitative relationships provide a sound basis for selecting both the system parameters and the DOA estimation algorithm according to the prevailing interference environment. This paper is a continuation of Part I, in which a general framework for the adaptive selection of the sounding direction based on interference source localization was proposed.