Huang Yiwei, Tong Jianfei, Hu Xiaoqing, Bao Ming
Key Laboratory of Noise and Vibration Research, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China.
University of Chinese Academy of Sciences, Beijing 100049, China.
Sensors (Basel). 2021 Feb 25;21(5):1591. doi: 10.3390/s21051591.
The localization of outdoor acoustic sources has attracted attention in wireless sensor networks. In this paper, the steered response power (SRP) localization of band-pass signal associated with steering time delay uncertainty and coarser spatial grids is considered. We propose a modified SRP-based source localization method for enhancing the localization robustness in outdoor scenarios. In particular, we derive a sufficient condition dependent on the generalized cross-correlation (GCC) waveform function for robust on-grid source localization and show that the SRP function with GCCs satisfying this condition can suppress the disturbances induced by the grid distance and the uncertain steering time delays. Then a GCC refinement procedure for band-pass GCCs is designed, which uses complex wavelet functions in multiple sub-bands to filter the GCCs and averages the envelopes of the filtered GCCs as the equivalent GCC to match the sufficient condition. Simulation results and field experiments demonstrate the excellent performance of the proposed method against the existing SRP-based methods.
室外声源的定位在无线传感器网络中受到了关注。本文考虑了与转向时延不确定性和更粗空间网格相关的带通信号的导向响应功率（SRP）定位。我们提出了一种基于SRP的改进型声源定位方法，以增强室外场景中的定位鲁棒性。具体而言，我们推导了一个依赖于广义互相关（GCC）波形函数的充分条件，用于稳健的网格上声源定位，并表明满足该条件的带有GCC的SRP函数可以抑制由网格距离和不确定的转向时延引起的干扰。然后设计了一种用于带通GCC的GCC细化过程，该过程使用多个子带中的复小波函数对GCC进行滤波，并将滤波后的GCC的包络进行平均作为等效GCC以满足充分条件。仿真结果和现场实验证明了所提方法相对于现有基于SRP的方法具有优异的性能。
