| 引用本文: | 胡步发,陆仲良,郭桂蓉.一种用AR模型参数自适应检测瞬态信号的新方法.[J].国防科技大学学报,1990,12(4):108-115 ，116.[点击复制] |
| Hu Bufa,Lu Zhongliang,Guo Guirong.A New Method of Adaptive Detection of Transient Signals Using Autoregressive Parameters[J].Journal of National University of Defense Technology,1990,12(4):108-115 ，116[点击复制] |
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| 一种用AR模型参数自适应检测瞬态信号的新方法 |
| 胡步发, 陆仲良, 郭桂蓉 |
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(电子技术系)
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| 摘要: |
| 本文研究AR模型参数特征用于瞬态信号自适应检测的问题。本文依据AR模型参数矢量长度为特征检测信号的思思，提出了一种具有良好地自适应抑制噪声扰动的参数估计方法，弥补了 LS、SVDT方法的不足。理论分析和实验结果均表明，本文的方法具有很好的AR模型参数估计和瞬态信号检测性能。 |
| 关键词: 检测，估计，信号/瞬态信号，建摸，SVD技术 |
| DOI： |
| 投稿日期：1990-06-15 |
| 基金项目: |
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| A New Method of Adaptive Detection of Transient Signals Using Autoregressive Parameters |
| Hu Bufa, Lu Zhongliang, Guo Guirong |
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(Department of Electronic Technology)
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| Abstract: |
| The problem of adaptive detection of transient signals is studied. Based on the idea of using vector length feature of autoregressive parameters，a method of estimation of parameters is presented. This method is of good performance of adaptive noise control and it can make up the deficiency of LS and SVDT methods. Theoretical analysis and simulation results show that this method is of good performance of autoregressive parameter estimation and transient signa1 detection. |
| Keywords: detection,estimate,signals/transient signa1s,AR model,SVD technique |
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