2023年第2期仪表技术与传感器InstrumentTechniqueandSensor2023No.2基金项目:国家重大科研仪器研制项目(61927807);国家重点研发计划(2019YFC0119800);国家自然科学基金(51875535)收稿日期:2022-07-25MEMS水听器信号FPGA自适应滤波处理荆博原,张国军,柳燕(中北大学,省部共建动态测试技术国家重点实验室,山西太原030051)摘要:为提高MEMS水听器自主定向能力,需要硬件处理水声信号。由于水下环境系统复杂,水听器工作中经常受到各种噪声的强烈干扰,对目标定位的准确性产生极大影响。为获得优质水声数据以提高目标定位精度,基于自适应滤波原理,以FPGA为核心对水听器接收到的信号进行自适应滤波处理,将LMS自适应算法集成到硬件电路中,对接收到的原始信号进行滤波后保存至SD卡,采集完成后通过USB接口将数据传输至上位机。经验证该系统在水下工作稳定,可以对原始水声信号进行自适应滤波处理和存储,获得稳定目标信号,对后续MEMS水听器的离线目标定位有重要作用。关键词:FPGA;自适应滤波;数字信号处理;数据采集中图分类号:TB565文献标识码:A文章编号:1002-1841(2023)02-0034-06FPGAAdaptiveFilteringofMEMSHydrophoneSignalJINGBo-yuan,ZHANGGuo-jun,LIUYan(NorthUniversityofChina,StateKeyLaboratoryofDynamicMeasurementTechnology,Taiyuan030051,China)Abstract:InordertoimprovetheautonomousorientationabilityofMEMShydrophone,itneedshardwaretoprocessunder-wateracousticsignals.However,duetothecomplexunderwaterenvironmentsystem,hydrophonesareoftenstronglyinterferedbyvariousnoises,whichgreatlyaffectstheaccuracyoftargetpositioning.Inordertoobtainhighqualityunderwateracousticdataandimprovetargetpositioningaccuracy,basedontheprincipleofadaptivefiltering,thesignalreceivedbyhydrophonewasprocessedbyadaptivefilteringwithFPGAasthecore,andtheLMSadaptivealgorithmwasintegratedintothehardwarecircuittoanalyzeandfilterthereceivedoriginalsignal.Afterprocessing,thedatawassavedtoSDcard.Aftertheworkwasfinished,thedatawastransferredtotheuppercomputerthroughUSBinterface.Itisprovedthatthesystemworksstablyunderwaterandcancarryouta-daptivefilteringtotheoriginalunderwateracousticsignaltoobtainthestabletargetsignal,whichlaysafoundationforthesubse-quentoffli...