| Special algorithm of enhancing underwater targetradiated dynamic line spectrum |
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| 作者姓名： | Guo Yecai Zhao Junwei & Chen Huawei. Anhui Univ. of Science and Technology Huainan P. R. China . Inst. of Acoustic Engineering Northwestern Polytechnical Univ. Xi'an P. R. China |
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| 作者单位： | Guo Yecai 1，2，Zhao Junwei2 & Chen Huawei21. Anhui Univ. of Science and Technology，Huainan 232001，P. R. China;2. Inst. of Acoustic Engineering，Northwestern Polytechnical Univ.，Xi'an 710072，P. R. China |
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| 基金项目： | ThisprojectwassupportedbytheSecienceFoundationofEduationalOffice,AnhuiProvince(2003KJ092,2005KJ068ZDandDoctorofAnhuiUniversityofScienceandTechnology(2004YB05.) |
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| 摘 要： | 1.INTRODUCTION Improvingthesignal to noiseratio(SNR)ofsinusoidal signalscorruptedbyadditivenoise,orsimplylineen hancementisataskfrequentlyencounteredinmanysignal processingapplicationssuchasradar,sonarandgeo physics.Leastmeansquare(LMS)1～3]basedadaptive lineenhancer(ALE)areoftenappliedtoenhancing underwatermovingtarget radiatedinterestlinespec trum.MaindisadvantagesoftheALEconsistinlow abilitytohandlecoloredGaussiannoiseandthatper formanceoftheALEgetsworseatlowinputSNR.Forgreatly…
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Special algorithm of enhancing underwater target-radiated dynamic line spectrum |
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| Guo Yecai ,,Zhao Junwei & Chen Huawei. Anhui Univ. of Science and Technology,Huainan ,P. R. China,. Inst. of Acoustic Engineering,Northwestern Polytechnical Univ.,Xi''''an ,P. R. China.Special algorithm of enhancing underwater targetradiated dynamic line spectrum[J].Journal of Systems Engineering and Electronics,2005,16(4). |
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| Authors: | Guo Yecai Zhao Junwei Chen Huawei |
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| Institution: | 1. Anhui Univ. of Science and Technology, Huainan 232001, P. R. China;Inst. of Acoustic Engineering, Northwestern Polytechnical Univ., Xi'an 710072, P. R. China
2. Inst. of Acoustic Engineering, Northwestern Polytechnical Univ., Xi'an 710072, P. R. China |
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| Abstract: | Performance of traditional adaptive line enhancer (ALE) in suppressing Gaussian noise is low and can get worse at low input signaltonoise ratio(SNR). For greatly overcoming these disadvantages, feature of fourthorder cumulant(FOC) different slices for quasistationary random process is analyzed, fourth order cumulant(FOC) different slicebased adaptive dynamic line enhancer is presented, and output SNR of the proposed enhancer is derived and bigger than that of the ALE via theoretical analysis. Simulation tests with the underwater moving targetradiated data have shown that the proposed enhancer outperforms the ALE in suppressing Gaussian noise and enhancing dynamic line spectrum feature. |
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| Keywords: | higherorder cumulant different slice dynamic line spectrum underwater moving target Gaussian noise |
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