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Self-Recovering Extended Kalman Filter for Frequency Tracking |
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Myo Taeg Lim, Jung Min Pak, Choon Ki Ahn(Korea University, Korea, Republic of ) |
| This paper proposes a new nonlinear filtering algorithm called the self-recovering extended Kalman filter (SREKF). In the SREKF algorithm, the EKF’s failure or abnormal operation is automatically diagnosed. When the failure is diagnosed, an assisting filter, a nonlinear finite impulse response (FIR) filter, is operated. Using the output of the
nonlinear FIR filter, the EKF is reset and rebooted. In this way, the SREKF can self-recover from failures. The SREKF is applied to a frequency tracking problem for demonstration of its effectiveness. |
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Integrated Particle Rauch-Tung-Striebel Backward Smoothing for Single Target Tracking in Clutter |
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Yi Fang Shi, Taek Lyul Song(Hanyang University, Korea, Republic of ), Tae Yoon Um(Agency for Defense Development, Korea, Korea, Republic of ) |
This paper presents a Rauch-Tung-Striebel backward smoothing (RTSBS) methodology applied to the integrated particle filter (IPF), which is an algorithm for single target tracking in clutter by incorporating the probability of target existence into the traditional particle filter as a track quality measure for false track discrimination (FTD). This integrated particle-Rauch-Tung-Striebel backward smoothing (IP-RTSBS) algorithm absorbs the forward filtering backward smoothing approach to smooth the trajectory state, which is then applied to the RTS smoothing methodology to obtain the smoothcialis discount coupons go cialis price check cialis discount coupons go cialis price check prescription discounts cards drug coupons coupons for cialis 2016 prescription discounts cards read coupons for cialis 2016 coupons for cialis printable click new prescription coupons coupons for cialis printable click new prescription coupons |
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Acoustic Classification and Tracking of Multiple targets using Wireless Sensor Networks |
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Joonghyun Lee, H.jin Kim(Seoul National University, Korea, Republic of ) |
Acoustic Classification and Tracking of Multiple targets
usingWireless Sensor Networks
Joonghyun Lee and H. Jin Kim
This paper presents an acoustic classification and multi-sensor tracking algorithm with WSNs for multiple
targets. The goal for this study is to classify the targets and identify the traces of moving multiple targets with their acoustic
characteristics and received signal strength indicator. The paper describes a distinctive method to select features from the
raw acoustic signal which contains both time and frequency domain information. For trace identification, the method...what is the generic name for bystolic click bystolic savings card program bystolic generic link bystolic coupons for free cialis discount coupons go cialis price check cialis discount coupons open cialis savings and coupons aidamar click aida angebote ciprofloxacin go cipromed |
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Error Analysis of Multidimensional Evaluation of Pilot’s Workload Based on Objective Measures |
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Chan Wei, Liming Wei, Zhengxiang Cai, Yanyu Lu, Qi Wu, Dan Huang, Shan Fu(Shanghai Jiao Tong University, China) |
Evaluation of pilot’s workload during flight is a significant consideration for the safety of civil aviation. However, some errors may be brought in the measurement and the recording of objective parameters. Based on a multidimensional workload evaluation, the time delay of cardiac activity and its impacts on workload are analyzed. The results suggest that within a certain limit of error around 10s, varying from individual to individual, workload can keep the main information compared to the original workload. As the error increases, the workload may become unreliable.new treatment for diabetes dosage for cialis cialis discount coupons go cialis price check prescription discounts cards read coupons for cialis 2016 |
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Muti-sensor Fusion for Localization in Real Environment |
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Daesung Jeon, Hoimyung Choi(Adavanced Institues of Convergence Technology, Korea, Republic of ) |
It is essential for vehicles acquiring one’s own current position to navigate autonomously. Especially, vehicles usually do not clearly obtain GPS information at indoor environments. In order to localize itself, vehicles have to use absolute and relative measurement systems from surrounding environmental and its driving information. Absolute position information such as environmental structures and magnets located on the ground can be used for offsetting the error of vehicle’s relative position estimated from encoder and inertial sensors.ciprofloxacin go cipromed |
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The measurement uncertainty evaluation of a reversal error source for the ALSM |
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Vittaya Tipsuwanporn(King Mongkut's Institute of Technology Ladkrabang, Thailand) |
most recently, the measurement uncertainty evaluation employs entirely for evaluating the measurement process which is also use to investigate the residual error of length measuring system. This paper presents the measurement uncertainty of the reversal errors that would be compensated by using the error with the measurement uncertainty compensation module. The confident level of measurement uncertainty is approximately 95%. This evaluation result of the measuring system errors were approximately minimized to 8.0 µm.cialis dosage for enlarged site cialis dosage forum cialis coupon discounts site buy generic cialis prescription discounts cards drug coupons coupons for cialis 2016 prescription discounts cards read coupons for cialis 2016 voltaren ara site voltaren szemcsepp ciprofloxacin go cipromed |
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