基于量化信息的无线传感器网络多声源定位研究

针对量化定位大都集中在单源定位问题，该文研究了基于无线传感器网络的量化多声源定位方法。首先针对超声源的传播特性提出了对数量化策略，节点根据量化策略和测量值计算量化信息，并将量化信息传输给基站；然后基站根据提出的基于可能性C均值聚类算法的多源定位方法估计声源的位置。通过在不同参数下的仿真验证所提算法的有效性，仿真结果表明:该算法能够较精确地估计多声源的位置，且对丢包率具有一定的鲁棒性。

Multi-Acoustic Source Localization Based on Quantized Data for Wireless Sensor Networks

In this paper, we focus on the multi-acoustic source localization algorithm based on wireless sensor networks. First, the logarithm quantization strategy is proposed for the propagation characteristics of the ultrasonic source. The nodes calculate the quantized data according to the quantization strategy and the measured value, and transmit the quantized data to the base station. The base station then estimates the localization of the acoustic source with the proposed multi-acoustic source localization algorithm based on the likelihood C-means clustering algorithm. The effectiveness of the proposed algorithm under different parameters is verified and the simulation results show that the proposed algorithm can estimate the position of the multi-acoustic source more accurately and has some robustness to packet loss rate.