基于正交冗余采樣的超分辨信號(hào)譜估計(jì)
Super-resolution spectrum estimation based on orthogonal redundancy sampling
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摘要: 該文提出了一種通過(guò)冗余采樣進(jìn)行信號(hào)譜估計(jì)的新方法,它充分利用冗余采樣產(chǎn)生的頻譜帶限特性,通過(guò)對(duì)自相關(guān)矩陣進(jìn)行秩1分解的方法來(lái)獲得信號(hào)譜的超分辨估計(jì),與 MUSIC、AR等其他超分辨方法相比,這種方法具有更低的信噪比門限和更高的分辨力。
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關(guān)鍵詞:
- 譜估計(jì); 超分辨力; 正交冗余采樣
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(肖先賜,現(xiàn)代譜估計(jì)-原理與應(yīng)用,哈爾濱,哈爾濱工業(yè)大學(xué)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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