Acitve projection ar using high-speed optical axis control and appearance estimation algorithm

This paper proposes a nearby phase search (NPS) algorithm based on BPS estimation algorithm in optical coherent receivers. And its suitable for arbitrary multi-level modulation. Making use of the continuity of phase change, the proposed NPS algorithm is applied to process nearby symbols by taking the pre-estimation phase of each symbol block as reference point. Compared to the traditional blind phase search (BPS) algorithm and its improved two-stage BPS algorithm, the performance of the proposed NPS algorithm is greatly improved in ultra-high speed coherent optical transmission system. By the simulation, the effectiveness and feasibility of the proposed algorithm are demonstrated in 28GBaud 16-QAM and 64-QAM system. Its shown that the computational complexity of the NPS algorithm greatly reduces in the guarantee of laser line width tolerance and bit error rate.

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A MIMO-OFDM channel estimation algorithm for high-speed movement environments

2014 6th International Symposium on Communications, Control and Signal Processing (ISCCSP) ◽

10.1109/isccsp.2014.6877885 ◽

2014 ◽

Cited By ~ 4

Author(s):

Takahiro Natori ◽

Nari Fanabe ◽

Toshihiro Furukawa

Keyword(s):

Channel Estimation ◽

High Speed ◽

Estimation Algorithm ◽

Mimo Ofdm

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Computer vision–based automatic rod-insulator defect detection in high-speed railway catenary system

International Journal of Advanced Robotic Systems ◽

10.1177/1729881418773943 ◽

2018 ◽

Vol 15 (3) ◽

pp. 172988141877394 ◽

Cited By ~ 7

Author(s):

Ye Han ◽

Zhigang Liu ◽

DJ Lee ◽

Wenqiang Liu ◽

Junwen Chen ◽

...

Keyword(s):

Computer Vision ◽

Defect Detection ◽

High Speed ◽

Power Transmission ◽

Estimation Algorithm ◽

Inspection System ◽

High Speed Railway ◽

Inspection Method ◽

Railway Systems ◽

Catenary System

Maintenance of catenary system is a crucial task for the safe operation of high-speed railway systems. Catenary system malfunction could interrupt railway service and threaten public safety. This article presents a computer vision algorithm that is developed to automatically detect the defective rod-insulators in a catenary system to ensure reliable power transmission. Two key challenges in building such a robust inspection system are addressed in this work, the detection of the insulators in the catenary image and the detection of possible defects. A two-step insulator detection method is implemented to detect insulators with different inclination angles in the image. The sub-images containing cantilevers and rods are first extracted from the catenary image. Then, the insulators are detected in the sub-image using deformable part models. A local intensity period estimation algorithm is designed specifically for insulator defect detection. Experimental results show that the proposed method is able to automatically and reliably detect insulator defects including the breakage of the ceramic discs and the foreign objects clamped between two ceramic discs. The performance of this visual inspection method meets the strict requirements for catenary system maintenance.

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An Innovative Procedure for High Speed Weighing in Motion of Railway Vehicles

Volume 6: 11th International Conference on Multibody Systems, Nonlinear Dynamics, and Control ◽

10.1115/detc2015-46315 ◽

2015 ◽

Author(s):

Enrico Meli ◽

Pierluca D’Adamio ◽

Alice Innocenti ◽

Lorenzo Marini ◽

Luca Pugi ◽

...

Keyword(s):

Experimental Data ◽

High Speed ◽

Estimation Algorithm ◽

Operating Conditions ◽

Least Square ◽

Accurate Estimation ◽

Research Activity ◽

Multibody Model ◽

Weigh In Motion ◽

Numerical Noise

In the present work the authors propose an innovative estimation algorithm for Weigh-in-motion (WIM) applications with the aim of estimating the axle or wheel loads of a generic train composition, starting from indirect track measurements. The WIM algorithm elaborates the set of experimental physical quantities chosen as track inputs, making use of estimation procedures based on least square minimization techniques. To perform an accurate estimation, the algorithm uses a flexible multibody model of the track and the vehicle. The novelty of the proposed solution is the general approach that allows to manage different kinds of measurement station and signal inputs (both experimental data and simulated ones) and the good robustness against numerical noise. The algorithm has been tested under any operating conditions through a wide simulation campaign, obtaining good results. Future developments will be based on the experimental data provided by Ansaldo STS and ECM SpA that supported the research activity.

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