Combined phase offset channel estimation method for optical OFDM/OQAM

Fang, Xi; Suo, Zhufeng; Zhang, Lei; Zhang, Qingchuan; Zhang, Fan

doi:10.1016/j.yofte.2020.102390

Cited by 4 publications

(2 citation statements)

References 32 publications

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“…being the RF phase variation is obtained from discrete time. All the subcarriers of the OFDM symbol must be taken into account and hence equation ( 9) was represented in a compact matrix form as: (10) In the OFDM spectrum, for the estimation of time-varying channels, a particular number of subcarriers are allocated. In the PAE methodology, the values were given by the pilots which are used in the linear interpolation for the detection of the output of channel frequency for the data subcarriers as described in the introduction.…”

Section:      mentioning

confidence: 99%

“…Especially in channel estimation, an increasing number of channel coefficients and long pilot sequences need to be trained, and increasingly stringent latency constraints are imposed. These pose growing challenges to existing channel estimation based on electronic processors in terms of computing power proportional to parallelism, data storage, and data transmission, [10]. Specifically, channel estimation entails large-scale complex matrix computations, which in turn, requires a large number of transistors working together and additional scheduling procedures to coordinate the movement of data involving weights, resulting in an overall latency on the order of milliseconds.…”

Section: Introductionmentioning

confidence: 99%

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Highly Accurate Technique for CO-OFDM Channel Estimation Technique Using Extreme Learning Machine (ELM)

Joseph

Puttamadappa

2023

Wseas Transactions on Electronics

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In wireless systems, channel estimation is considered a problematic technology, due to the fact of the difference in time between wireless channels and the noise effect. Orthogonal frequency-division multiplexing (OFDM) is a promising candidate for future optical communications and has received wide concern. The article proposed a Coherent Optical (CO) orthogonal frequency division multiplexing (OFDM) scheme, which gives a scalable and flexible solution for increasing the transmission rate, being extremely robust to chromatic dispersion as well as polarization mode dispersion. Nevertheless, both coherent detection and OFDM are prone to phase noise due to the phase mismatch between the laser oscillators at the transmitter and receiver sides and the relatively long OFDM symbol duration compared to that of single carrier communications. An Extreme Learning Machine (ELM) with Pilot Assisted Equalization (PEM) is proposed for compensation of impairments caused by fibre nonlinearity in coherent optical communication systems. Channel estimation using ELM and the value of distortion is sent to the OSTBC receiving end based on the distortion information the data is decoded and pilot data is removed. FFT is applied to the data and QPSK demodulation is done in the data to get its original form. In addition, the article utilized a free-space optical communication system of multi-input multi-output orthogonal frequency division multiplexing (MIMO-OFDM) with a modified receiver structure. Simulation reveals that the proposed model exhibits significant BER (0.0112) performance and provides better spectral efficiency as compared with conventional systems and less computational complexity. This suggested that the proposed method shows better performance by using the CO-OFDM-FSO-MIMO-ELM-based channel estimation technique for high-speed data communication networks in real-time scenarios respectively.

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Section:      mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%