传声器智能组网与多目标探测技术研究

Researching on Multi-target Detection Based on Microphone Intelligent Network

利用传声器网络对被动声源进行探测的技术在近年被广泛使用,形成多种形态的声探测系统。目前,声探测系统的传声器网络一般采取预先固定的形态,不利于在计算量、探测精度等方面的优化。提出一种传声器智能组网技术,打破预置固定的网络形态,可有效降低计算量、提高探测精度。在此基础上,给出了基于此传声器网络对多目标进行匹配融合定位的算法,有效解决多传感器对多目标信息的匹配问题。

Passive acoustic sources detection based on microphone network technology is widely used in recent years to form a variety of sound detection system. At present, the network of the acoustic detection system generally adopts the pre-fixed pattern, which is not conducive to optimization of the computation quantity and the accuracy of the detection. A microphone intelligent networking technology presented in this paper can effectively decrease the computation burden and improve the detection accuracy. Then based on the network, multiple target matching fusion location algorithm is given, which can solve the matching problem of multi-sensor information coming from multiple targets effectively.