Channel estimation and secure data transmission using hybrid particle swarm optimisation–gray wolf optimisation‐leaky least‐Mean‐Square and affine elliptic curves cryptography algorithm in MU‐multi‐input multi‐output orthogonal frequency division multiplexing system

2021 ◽  
Author(s):  
Jeya R ◽  
B. Amutha
Keyword(s):  
Elliptic Curves ◽  
Data Transmission ◽  
Orthogonal Frequency Division Multiplexing ◽  
Frequency Division Multiplexing ◽  
Gray Wolf ◽  
Mean Square ◽  
Least Mean Square ◽  
Frequency Division ◽  
Secure Data Transmission ◽  
Elliptic Curves Cryptography

The Study of Navigation Light Cable Communication Based on OFDM

2011 ◽  
Vol 422 ◽  
pp. 218-223
Author(s):  
Xiu Yan Wang ◽  
Jin Lin Wang ◽  
Jia Quan Lin ◽  
Zong Shuai Li
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Data Transmission ◽  
Orthogonal Frequency Division Multiplexing ◽  
Working Condition ◽  
Frequency Division Multiplexing ◽  
Frequency Division ◽  
The Real ◽  
Cable Channel ◽  
Cable Communication

Navigation light monitoring system is designed to detect the working condition of each light with circuit cable carrier. However, the real-time detecting information could be inaccurate as a result of the existence of disturbances such as noise, multi-path effect and channel decline, when the data transmission happens in light cable as the channel. In this paper, OFDM (Orthogonal Frequency Division Multiplexing) is presented to be used in circuit cable communication. And the reason and capability of the resistance to these disturbances in OFDM are analyzed. Finally, the result is concluded that OFDM used in navigation light cable channel is feasible.

scholarly journals Research on a Unified Framework Based on Linear Frequency Modulation and Orthogonal Frequency-Division Multiplexing

2019 ◽  
Vol 2019 ◽  
pp. 1-7
Author(s):  
Tianhong Zhang ◽  
Limei Xu ◽  
Kaiyu Qin ◽  
Xiao Yan
Keyword(s):  
Remote Control ◽  
Frequency Modulation ◽  
Data Transmission ◽  
Orthogonal Frequency Division Multiplexing ◽  
Frequency Division Multiplexing ◽  
Frequency Division ◽  
Unified Framework ◽  
Control Data ◽  
Target Speed ◽  
Signal Features

This paper proposes a unified system framework based on linear frequency modulation (LFM) and orthogonal frequency-division multiplexing (OFDM) as a solution for resource sharing, especially sharing space and hardware. The proposed OFDM-LFM framework can not only transmit data flow by OFDM but also make it possible to extract features from the signal by LFM. Further, the signal features are used to construct a pseudospectrum related to the target speed and distance, thereby estimating the speed and distance of the target. Unified means using signal features to estimate target speed and distance while ensuring data transmission including communication and remote control data information. Besides the traditional data transmission mode, the ability of estimating target speed and distance is an additional benefit. The proposed unified framework makes control of transmission easier and saves more hardware resources. The simulation results show that the proposed LFM-OFDM framework can not only transmit data information including communication and remote control data information, but also estimate the speed and distance of the target by its signal features.

scholarly journals Hybrid Approach for Channel Estimation Using Iterative Compensation and LMS Algorithm

2018 ◽  
Vol 7 (3.8) ◽  
pp. 34
Author(s):  
Bhanu Partap ◽  
Prabhjot Singh ◽  
. .
Keyword(s):  
Channel Estimation ◽  
Orthogonal Frequency Division Multiplexing ◽  
Hybrid Approach ◽  
Vital Role ◽  
Lms Algorithm ◽  
Mean Square ◽  
Estimation Technique ◽  
Compensation Mechanism ◽  
Least Mean Square ◽  
Frequency Division

In Orthogonal Frequency Division Multiplexing, the concept of channel equalization and estimation plays a vital role to improve the performance of the system by reducing the effects of distortion in the signals that occurs due to fading, multipath, delay spreads. In this study a hybrid channel estimation technique is developed by collaborating the iterative compensation mechanism with Least Mean Square technique. The performance of the proposed work is observed to be more effective and efficient than the Iterative compensation based channel estimation technique in the terms of Mean Square Error (MSE).  

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