Research on the Method of Acquiring High Dynamic GPS Signal Based on the Union of AF and UKF Technology

机译：基于AF和UKF技术联合的高动态GPS信号采集方法研究

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摘要

The problems of receiving GPS signal in high dynamic circumstance are analyzed in this paper, and a method of acquiring high dynamic GPS signal based on the union of Ambiguity Function (AF) and Unscented Kalman Filtering (UKF) technology is studied too. Through this method the pseudo-code time delay and the Doppler frequency of GPS signal could be estimated at the same time. Compared with the MLE, this paper analyzes the acquiring performance of this union estimating method. And simulation results show that its acquisition speed of GPS signal is increased on a certain tracking accuracy.

机译：本文分析了在高动态环境下接收GPS信号的问题，并研究了基于模糊函数（AF）和无味卡尔曼滤波（UKF）技术相结合的高动态GPS信号获取方法。通过这种方法，可以同时估计伪码的时延和GPS信号的多普勒频率。与MLE相比，本文分析了这种联合估计方法的获取性能。仿真结果表明，在一定的跟踪精度下，GPS信号的获取速度有所提高。

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《ISTM/2007;International symposium on test and measurement》|2007年|1-3|共1页
会议地点 Beijing(CN);Beijing(CN)
作者
J.S.Ren; J.W.Zhou;
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Department of Mechanics Shanghai University Shanghai 200444 China;

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原文格式 PDF
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关键词
high dynamic; GPS; signal acquiring; AF; UKF;

机译：高动态全球定位系统;信号采集AF;英国空军;

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1. Error Prediction for SINS/GPS after GPS Outage Based on Hybrid KF-UKF [J] . Zhang Baiqiang, Chu Hairong, Sun Tingting, Mathematical Problems in Engineering . 2015,第PTa18期

机译：基于混合KF-UKF的GPS停电后SINS / GPS的误差预测
2. Error Prediction for SINS/GPS after GPS Outage Based on Hybrid KF-UKF [J] . BaiqiangZhang, HairongChu, TingtingSun, Mathematical Problems in Engineering: Theory, Methods and Applications . 2015,第1a2期

机译：基于混合KF-UKF的GPS停电后SINS / GPS的误差预测
3. Error Prediction for SINS/GPS after GPS Outage Based on Hybrid KF-UKF [J] . BaiqiangZhang, HairongChu, TingtingSun, Mathematical Problems in Engineering: Theory, Methods and Applications . 2015,第2期

机译：基于混合KF-UKF的GPS停电后SINS / GPS的误差预测
4. Research on the Method of Acquiring High Dynamic GPS Signal Based on the Union of AF and UKF Technology [C] . International symposium on test and measurement . 2007

机译：基于AF和UKF技术联盟获取高动态GPS信号的方法研究
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6. BDS/GPS Dual Systems Positioning Based on the Modified SR-UKF Algorithm [O] . JaeHyok Kong, Xuchu Mao, Shaoyuan Li 2016

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7. EEG Signal Discrimination using Non-linear Dynamics in the EMD Domain S. M. Shafiul Alam,S. M. Shafiul Alam,Aurangozeb, and Syed TarekShahriar Abstract—An EMD-chaos based approach is proposed todiscriminate EEG signals corresponding to healthy persons,and epileptic patients during seizure-free intervals and seizureattacks. An electroencephalogram (EEG) is first empiricallydecomposed to intrinsic mode functions (IMFs). The nonlineardynamics of these IMFs are quantified in terms of the largestLyapunov exponent (LLE) and correlation dimension (CD).This chaotic analysis in EMD domain is applied to a large groupof EEG signals corresponding to healthy persons as well asepileptic patients (both with and without seizure attacks). It isshown that the values of the obtained LLE and CD exhibitfeatures by which EEG for seizure attacks can be clearlydistinguished from other EEG signals in the EMD domain.Thus, the proposed approach may aid researchers in developingeffective techniques to predict seizure activities. Index Terms—Electroencephalogram (EEG), empiricalmode decomposition (EMD), largest Lyapunov exponent (LLE),correlation dimension (CD), epileptic seizures. The Authors are with the Electrical and Electronic EngineeringDepartment, Bangladesh University of Engineering and Technology,Dhaka-1000, Bangladesh (e-mail: imamul@eee.buet.ac.bd) PDF Cite: S. M. Shafiul Alam,S. M. Shafiul Alam,Aurangozeb, and Syed Tarek Shahriar, "EEG Signal Discrimination using Non-linear Dynamics in the EMD Domain," International Journal of Computer and Electrical Engineering vol. 4, no. 3, pp. 326-330, 2012. PREVIOUS PAPER Perception of Emotions Using Constructive Learningthrough Speech NEXT PAPER Physical Layer Impairments Aware OVPN Connection Selection Mechanisms Copyright © 2008-2013. International Association of Computer Science and Information Technology Press (IACSIT Press) [O] . S. M. Shafiul Alam, Syed TarekShahriar 2012

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Research on the Method of Acquiring High Dynamic GPS Signal Based on the Union of AF and UKF Technology

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