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时间:2020-04-24
《基于欠采样随机共振的单频微弱信号检测新方法-论文.pdf》由会员上传分享,免费在线阅读,更多相关内容在行业资料-天天文库。
1、第54卷第5期电讯技术Vo1.54No.52014年5月TelecommunicationEngineeringMav2014doi:10.3969/j.issn.1001—893x.2014.05.015引用格式:石盛超,李广侠,李志强,等.基于欠采样随机共振的单频微弱信号检测新方法[J].电讯技术,2014,54(5):605-610.[SHISheng-chao,LIGuang—xia,LIZhi—qiang,eta1.ANovelWeakSingleFrequencySignalDetectionMethodBasedonU
2、nder—SamplingStochasticReso—nanee[J].TelecommunicationEngineering,2014,54(5):605-610.]基于欠采样随机共振的单频微弱信号检测新方法石盛超,料,李广侠,李志强,冯少栋,张卫同(1.解放军理工大学通信工程学院,南京210007;2.解放军96610部队,北京102208)摘要:由于随机共振具有在特定条件下增强微弱信号信噪比的特性,近年来成为一种全新的微弱信号检测手段。为了克服随机共振绝热近似理论小参数条件的限制,提出一种基于欠采样随机共振的微弱信号检测方
3、法。通过欠采样尺度变换与还原技术,实现了大参数信号的随机共振处理,突破了二次采样变尺度随机共振算法要求采样频率必须大于信号频率的50倍的限制。构建了基于欠采样随机共振的微弱信号检测模型,从理论上证明了方法的可行性。最后利用该方法对信噪比为一27dB条件下的微弱单频信号检测进行了仿真,结果进一步验证了所提微弱信号检测方案的正确性。所提方法大大降低了信号的采样速率,为将随机共振应用于科斯塔斯(Costas)环的改进奠定了基础。关键词:深空通信;微弱信号检测;随机共振;欠采样;尺度变换中图分类号:TN911.72文献标志码:A文章编号:1
4、001—893X(2014)05—0605—06ANovelWeakSingleFrequencySignalDetectionMethodBasedonUnder-SamplingStochasticResonanceSHISheng—chao,LIGuang—xia,LIZhi—qiang,FENGShao—dong2,ZHANGWei—tong(1.CollegeofCommunicationsEngineering,PLAUniversityofScienceandTechnology,Nanjing210007,China
5、;2.Unit96610ofPLA,Beijing102208,China)Abstract:Stochasticresonanceiswidelyappliedtodetectweaksignalinastrongnoisebackgroundbe-causeitcanenhancethesignal—to—noiseratio(SNR).Aweaksinglefrequencysignaldetectionmethodbasedonunder-samplingstochasticresonanceisproposedtosolv
6、etheproblemthattraditionalstochasticresonancecanbeonlyappliedtodealwithsmallparametersignals.Stochasticresonanceissuccessfullyex—pandedintotheapplicationsofthelargeparametersignalsonthebasisofscale——transformationandretrievetechnologyintheunder-samplingstochasticresona
7、nce.Moreover,thealgorithmovercomesthelimitthatsignalfrequencymustbemorethan50timesofthesamplingfrequencyinthesecondsamplealgorithm.Themodelofweaksignaldetectionbasedonunder—samplingstochasticresonanceisputforward.Finally,detectingtheweaksinglefrequencysignalunderSNR=-2
8、7dBbackgroundbythemethodproposedinthispaperissimulated.Theresultprovesthevalidityofthemethod.Thesamplingfrequencyinth
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