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Nonlinear compressed measurement identification based on Volterra series
Alternative Title20200808196873;Volterra 级数模型的非线性压缩测量辨识算法
Qiu, Peng1,2; Yao, Xuri1; Li, Mingqian1,2; Zhai, Guangjie1
Source PublicationGuofang Keji Daxue Xuebao/Journal of National University of Defense Technology
2020
Volume42Issue:1Pages:125-132
DOI10.11887/j.cn.202001017
ISSN10012486
Language中文
KeywordCompressed sensing - Identification (control systems) - Nonlinear systems - Religious buildings Identification algorithms - Identification problem - Least square methods - Measurement matrix - Multiple measurements - Nonlinear compression - Orthogonal matching pursuit - Volterra Series
AbstractFor the identification problem of nonlinear systems, the accuracy and stability of the nonlinear compression measurement identification algorithm were proved in the simulation experiment, and the complete signal was obtained accurately only by using constant multiple measurement times of the signal sparsity. Compared with the least square method, the proposed algorithm has greatly reduced the needed measurements, therefore, it is possible for the identification of high-order Volterra series. Furthermore, the influence of all factors on the accuracy of system identification was analyzed, such as signal sparsity, measurement noise, measurement matrix form, etc. © 2020, NUDT Press. All right reserved.
Indexed ByEI ; CSCD
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Document Type期刊论文
Identifierhttp://ir.nssc.ac.cn/handle/122/7494
Collection中国科学院国家空间科学中心
Affiliation1.National Space Science Center, Chinese Academy of Sciences, Beijing; 100190, China;
2.University of Chinese Academy of Sciences, Beijing; 100049, China
Recommended Citation
GB/T 7714
Qiu, Peng,Yao, Xuri,Li, Mingqian,et al. Nonlinear compressed measurement identification based on Volterra series[J]. Guofang Keji Daxue Xuebao/Journal of National University of Defense Technology,2020,42(1):125-132.
APA Qiu, Peng,Yao, Xuri,Li, Mingqian,&Zhai, Guangjie.(2020).Nonlinear compressed measurement identification based on Volterra series.Guofang Keji Daxue Xuebao/Journal of National University of Defense Technology,42(1),125-132.
MLA Qiu, Peng,et al."Nonlinear compressed measurement identification based on Volterra series".Guofang Keji Daxue Xuebao/Journal of National University of Defense Technology 42.1(2020):125-132.
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