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基于自适应滤波与倒谱联合分析的时延估计方法 被引量:3

Time delay estimation based on adaptive filtering and cepstrum analysis method
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摘要 为了加强倒谱分析方法在窄带信号多途时延估计的抗噪声性能,该文在自适应滤波的基础上,提出了一种基于自适应陷波滤波与波形修正的信号预处理方法。该方法首先对回波信号进行自适应陷波滤波,有效减少噪声分量,然后对输出波形的包络进行调整,恢复信号的边沿信息,在保留信号中信道信息的前提下有效提高输入信噪比。仿真结果证明,该预处理方法提高信噪比效果明显,并不破坏时延分量,与倒谱分析相结合,能够有效提取线谱信号中的信道信息。 In order to strengthen its anti-noise performance when using cepstrum to estimate the multipath time-delay of narrowband signals,a pre-processing method by adaptive Notch filtering and envelop modification is proposed based on the adaptive filtering. This method improves the signal-to-noise ratio( SNR) by adaptive Notch filtering,modifies its envelope and preserves the time-delay in-formation. Simulation results show that this method can improve the SNR effectively and do not destroy the delay component. The channel information can be extracted effectively in combination with the cepstrum method.
出处 《南京理工大学学报》 EI CAS CSCD 北大核心 2014年第1期147-153,共7页 Journal of Nanjing University of Science and Technology
基金 武器装备预研基金 黑龙江省自然科学基金(E201024) 高等学校博士学科点专项科研基金(20102304120030)
关键词 时延估计 倒谱 信道估计 自适应陷波滤波 包络修正 delay estimation cepstrum channel estimation adaptive Notch filtering envelop modification
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参考文献15

  • 1Ceballos P, Stojanovic M. Adaptive channel estimation and data detection for underwater acoustic MIMO?OFDM systems[J]. IEEEJournal of Oceanic Engineering ,2010 ,35 (3) :635-646.
  • 2Mason S, Berger C, Zhou S. Detection, synchronization, and Doppler scale estimation with multicarrier waveforms in underwater acoustic communication[J]. IEEEJournal on Selected Areas in Communications,2008,26(9) :1638 -1649.
  • 3Palladini A, Testoni N. A reduced complexity estimation algorithm for ultrasound image de-blurring[J]. Computer Methods and Programs in Biomedicine, 2009 ,95 ( S ) : 54 -SI1.
  • 4Taxt T, Strand 1. Two-dimensional noise-robust blind de?convolution of ultrasound images[J]. IEEE Transactions on Ultrasonic, Ferroelectrics and Frequency Control, 2001 ,48( 4) :861-866.
  • 5Dsa A, Kumar A. Realistic ambient noise analysis for passive surveillance algorithm design[A]. IEEE Symposium on and 2011 Workshop on Scientific Use of Submarine Cables and Related Technologies[C] . Tokyo ,Japan: IEEE Computer Society ,2011 : 1-8.
  • 6Tloba H, Elgerazwy A. A perceptually based approach for the improvement of automatic identification of naval targets[A]. Proceedings of 2nd IEEE International Conference on Computer Science and Information Technology[C]. Beijing, China: IEEE Computer Society ,2009 :263-267.
  • 7陆志华,陈励军.基于倒谱的匹配场被动定位研究[J].声学与电子工程,2009(3):4-7. 被引量:2
  • 8马元锋,陈克安,马苗,张成.一种新的可应用于声目标识别的倒谱系数[J].兵工学报,2009,30(11):1477-1483. 被引量:12
  • 9杨德森,时洁,刘伯胜.基于倒谱分析的水声信号被动定位时延估计算法研究[J].系统仿真学报,2009,21(2):610-612. 被引量:9
  • 10殷业,赵松龄,盛胜我.声信号时延的倒谱相关分析[J].同济大学学报(自然科学版),1996,24(6):684-691. 被引量:7

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