Multi-Source Direction-of-Arrival Estimation Using Steered Response Power and Group-Sparse Optimization
Elisa Tengan, Thomas Dietzen, Filip Elvander, Toon van Waterschoot · IEEE/ACM Transactions on Audio Speech and Language Processing · 2024
In this paper, a method is proposed for estimating the direction of arrival (DOA) of multiple broadband sound sources. This is achieved by solving a group-sparse optimization problem, which models an observed broadband steered response power (SRP) map as a linear function of power spectral densities (PSDs), associated to a set of candidate DOAs. The estimation of the source DOAs is then accomplished by identifying peaks in the resulting spatial power density, i.e., the estimated direction-specific PSDs integrated over frequency. The proposed method is motivated by its potential to reveal more distinct peaks in the estimated spatial power density than those directly observed in the SRP map, which can be beneficial to the robustness in DOA estimation performance when multiple sources need to be distinguished under varying acoustic conditions. An implementation of the proposed method using the alternating direction method of multipliers (ADMM) is presented, and the DOA estimation performance is evaluated with both simulated and experimental data. Results show that, especially in reverberant scenarios, the proposed method presents an advantage in locating closely spaced sources when compared to SRP-PHAT, the group-sparse iterative covariance-based estimation (GSPICE) method, and the wideband MUSIC method with geometric averaging. Furthermore, it is observed that for a compact microphone array, the proposed method overall maintained its performance even when using SRP maps with lower grid resolutions than the sampling requirements of the broadband SRP function. Finally, results obtained with experimental data showed the applicability of the proposed method in a practical meeting room environment.