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...
