简介：Inunderwatertargetdetection,thebottomreverberationhassomeofthesamepropertiesasthetargetecho,whichhasagreatimpactontheperformance.Itisessentialtostudythedifferencebetweentargetechoandreverberation.Inthispaperbasedontheuniqueadvantageofhumanlisteningabilityonobjectsdistinction,theGammatonefilteristakenastheauditorymodel.Inaddition,time-frequencyperceptionfeaturesandauditoryspectrafeaturesareextractedforactivesonartargetechoandbottomreverberationseparation.Thefeaturesoftheexperimentaldatahavegoodconcentrationcharacteristicsinthesameclassandhavealargeamountofdifferencesbetweendifferentclasses,whichshowsthatthismethodcaneffectivelydistinguishbetweenthetargetechoandreverberation.

简介：自组织网络是一种无需依赖于事先布设的基础通信设施，没有中心控制节点，抗毁性强，复杂的分布式、多跳无线网络.考虑到自组织网自身及无线电磁环境特点，本文根据一种实际波形不同执行阶段特点提出智能感知方案，使得设备在噪声等干扰最少、接收信号较佳的频点上工作，从而提高通信良好频点利用率，获取更高质量的通信体验.