Shanxi Key Laboratory of Information Survey & Processing, North University of China, Taiyuan, China.
School of Information and Communication Engineering, North University of China, Taiyuan, China.
PLoS One. 2020 Oct 26;15(10):e0241129. doi: 10.1371/journal.pone.0241129. eCollection 2020.
High-precision source localization depends on many factors, including a suitable location method. Beamforming-based methods, such as the steered response power (SRP), are a common type of acoustic localization methods. However, these methods have low spatial resolution. The SRP method with phase transform (SRP-PHAT) improves the spatial resolution of SRP and is one of the most effective and robust methods for source localization. However, the introduction of a phase transform to SRP might amplify the power of the noise and result in many local extrema in the SRP space, which has a negative impact on source localization. In this paper, a steered sample algorithm (SSA) based on the reciprocity of wave propagation for acoustic source localization is proposed. The SSA localization process is similar to the hyperbolic Radon transform, which is theoretically analyzed and is the most essential difference form the SRP/SRP-PHAT. Compared with the SRP-PHAT, the experimental results demonstrate that the SSA perform better when it comes to array signal positioning with limited array elements and narrow azimuth signal, where SSA can achieve high precision positioning with lower SNR.
高精度声源定位取决于许多因素，包括合适的定位方法。基于波束形成的方法，如定向响应功率（SRP），是一种常见的声学定位方法。然而，这些方法的空间分辨率较低。相位变换的 SRP 方法（SRP-PHAT）提高了 SRP 的空间分辨率，是声源定位最有效和最强大的方法之一。然而，向 SRP 中引入相位变换可能会放大噪声的功率，并在 SRP 空间中产生许多局部极值，这对声源定位有负面影响。在本文中，提出了一种基于波传播互易性的用于声源远场定位的导向采样算法（SSA）。SSA 定位过程类似于双曲线 Radon 变换，从理论上进行了分析，是与 SRP/SRP-PHAT 最本质的区别。与 SRP-PHAT 相比，实验结果表明，在有限的阵元数和较窄的方位信号的阵列信号定位中，SSA 表现更好，SSA 可以在较低的 SNR 下实现高精度定位。
