水声信号处理中的多传感器数据融合

Multi-sensor data fusion in underwater acoustic signal processing

水下环境的复杂性往往使得单个传感器的可靠性降低,而多个水下传感器的共同使用则成为一个趋势,这就涉及到对于来自多个传感器的数据进行多方面、多层次的融合处理。概括和分析了当前多传感器数据融合技术在水声信号处理领域中的应用现状,并将诸多的融合方法按照具体应用范畴进行了分类,主要包括水下目标探测、跟踪和识别,以及水下自制机车导航等方面,对每种应用情况下的各种数据融合方法进行了比较。

Reliability of single sensor is often deteriorated in severe underwater environment, which makes it a trend that multiple sensors are used together to. get more accurate information. Data fusion is a kind of technique to deal with data from multi sensors in multi-aspect and on multi-level. The status of multi-sensor data fusion in the field of underwater acoustic signal processing is presented and the fusion methods are classified according to their range of application, including underwater target detection, tracking and identification and underwater vehicle navigation, Different data fusion methods are comparred.