摘要
针对多传感器目标信号的特点 ,运用小波变换和FOBW编码对信号进行特征提取。在此基础上 ,运用D S证据理论对目标进行融合识别。与单一传感器的识别结果相比较 ,上述方法能明显提高识别能力 ,同时降低识别的不确定性 ,提高识别的实时性。
?Wavelet transform and FOBW coding are used to extract the target's features of acoustic and seismic signals.And then,DS evidential theory is used to identify the target based on wavelet transform and FOBW coding.By comparing the simulation results of targets identification based on separate data and fusion data respectively,the advantages of this algorithm are testified because of its higher identification rate and better realtime.
出处
《传感器技术》
CSCD
北大核心
2002年第12期32-34,共3页
Journal of Transducer Technology
基金
国防重点预研基金项目资助(5.3.11DX9627)