Simulation of MIMO channel characteristics for indoor visible light communication with LEDs

An Integrated Object Tracking and Covert Visual MIMO Communication Service for Museum Security System Using Single Vision Sensor

“…To normalize the error metrics, the tracking error is evaluated per unit of object dimension A round object of 5 cm diameter is tracked in the proposed work, and the mean tracking error over 'N' frames are evaluated as in Equation (16) for X-axis and Equation 17for Y-axis. Finally, the tracking accuracies of X and Y plane are determined using Equations (18) and (19) respectively. The experimental results illustrate a significant tracking accuracy of 95.54% and 98.54% in the X and Y coordinates respectively.…”

“…The visual MIMO communication system has found wide applications in outdoor settings such as Vehicle to Vehicle communications (V2V), Object tracking, and so on [15][16][17]. It is also tested in indoor applications [18,19]. Recently the authors proposed a novel Visual MIMO interface for interfacing computer and control systems [20].…”

Human body impact on mobile visible light communication link

“…The configuration studied in this paper has been considered in many VLC studies [12][13][14][15][16]. As seen in Fig.…”

Research on Estimation Techniques for Rician Fading Multiple-Input and Multiple-Output Channels: A Theoretical Approach

“…Adoption of time-varying channel estimation and the ideal channel under the condition of BER performance is far off, and the EM iterative algorithm can improve the estimation precision of time-varying channel impulse response, and thus improves the BER performance of the system. The presence of a fixed (possibly line-of-sight or LOS) component in the channel will result in Rician fading [14]. Non-blind estimation refers to the first you assess the pilot is used to obtain the position of pilot channel information for the following to prepare for the data transfer phase of the channel information blind estimation refers to not use the pilot information through the use of the information processing technology to obtain corresponding channel estimate is compared with the traditional technique of the fanaticism of estimate fanaticism estimate technology transfer efficiency of the system is greatly increased, however due to the fanaticism channel estimation algorithm generally slower convergence speed this hinders its application in the actual system as it is a half fanaticism estimate it in the data transmission efficiency and make a compromise between the convergence speed is less training sequence is used to obtain the channel information.…”