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Fast acquisition of L2C CL codes based on combination of hyper codes and averaging correlation 被引量:1
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作者 Qingxi Zeng Linlin Tang +1 位作者 Pengna Zhang Ling Pei 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2016年第2期308-318,共11页
This paper provides a direct and fast acquisition algorithm of civilian long length(CL) codes in the L2 civil(L2C) signal. The proposed algorithm simultaneously reduces the number of fast Fourier transformation(... This paper provides a direct and fast acquisition algorithm of civilian long length(CL) codes in the L2 civil(L2C) signal. The proposed algorithm simultaneously reduces the number of fast Fourier transformation(FFT) correlation through hyper code technique and the amount of points in every FFT correlation by using an averaging correlation method. To validate the proposed acquisition performance, the paper applies this algorithm to the real L2C signal collected by the global positioning system(GPS) L2C intermediate frequency(IF) signal sampler—SIS100L2C. The acquisition results show that the proposed modified algorithm can acquire the code phase accurately with less calculation and its acquisition performance is better than the single hyper code method. 展开更多
关键词 L2C civilian long length(CL) code fast acquisition hyper code averaging correlation
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Identification of multiple inputs single output errors-in-variables system using cumulant 被引量:1
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作者 Haihui Long Jiankang Zhao 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2014年第6期921-933,共13页
A higher-order cumulant-based weighted least square(HOCWLS) and a higher-order cumulant-based iterative least square(HOCILS) are derived for multiple inputs single output(MISO) errors-in-variables(EIV) systems... A higher-order cumulant-based weighted least square(HOCWLS) and a higher-order cumulant-based iterative least square(HOCILS) are derived for multiple inputs single output(MISO) errors-in-variables(EIV) systems from noisy input/output data. Whether the noises of the input/output of the system are white or colored, the proposed algorithms can be insensitive to these noises and yield unbiased estimates. To realize adaptive parameter estimates, a higher-order cumulant-based recursive least square(HOCRLS) method is also studied. Convergence analysis of the HOCRLS is conducted by using the stochastic process theory and the stochastic martingale theory. It indicates that the parameter estimation error of HOCRLS consistently converges to zero under a generalized persistent excitation condition. The usefulness of the proposed algorithms is assessed through numerical simulations. 展开更多
关键词 parameter estimation multiple input systems recur-sive identification higher-order cumulant convergence analysis
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