基于正交冗余采样的超分辨信号谱估计
Super-resolution spectrum estimation based on orthogonal redundancy sampling
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摘要: 该文提出了一种通过冗余采样进行信号谱估计的新方法,它充分利用冗余采样产生的频谱带限特性,通过对自相关矩阵进行秩1分解的方法来获得信号谱的超分辨估计,与 MUSIC、AR等其他超分辨方法相比,这种方法具有更低的信噪比门限和更高的分辨力。
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关键词:
- 谱估计; 超分辨力; 正交冗余采样
Abstract: A novel method based on orthogonal redundancy sampling is proposed for har-monies estimation, which utilizes orthogonal redundancy sampling to obtain a signal with the information of its frequency range, and decomposes signal s auto-correlation matrix into the summation of rank-1 matrixes to estimate frequency of harmonics with the information. The results are compared with that of MUSIC and AR algorithms, and find that this method has a lower SNR threshold and higher range resolution. -
Xiao Xian-Ci, Modern Spectrum Estimation: Theory and Application, Harbin, Harbin lnstitute of Technology Press(肖先赐,现代谱估计-原理与应用,哈尔滨,哈尔滨工业大学出版社),1991,20- 113[2]J.J.Hopfield, Neural network and physical systems with emergent collective computational abilit ies,Proc. Natl Acad. Sci.[J]. USA.1982,79:2554-[3]R. D. Jones, Y. C. Lee et al., Function approximation and time series prediction with neural net work. Proc. Int. Joint Conf. Neural Network, San Diego, 1990, 1,649-665.[4]Li Yang, Feng Zhenghe, Xiao Yanhong, Huang Jingyu, A neural network algorithm foi signal processing of LFMCW or LFSCW, 1999 Asia Pacific Microwave Conference, Singapore, 1999.900-903. -
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