Channel estimation and error correction for UWOC system with vertical non-line-of-sight channel

Priyalakshmi, B.; Mahalakshmi, K.

doi:10.1007/s11276-020-02376-2

Cited by 11 publications

(1 citation statement)

References 25 publications

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“…In 2019, Sait et al studied the effect of turbulence and different bubble populations generated by temperature gradient changes on NLOS UWOC channels [15]. In 2020, Priyalakshmi et al proposed channel estimation and error correction techniques for vertical NLOS UWOC system based on multiple-in multiple-out orthogonal frequency division multiplexing (MIMO-OFDM) and compared the channel capacity, bit error rate (BER), signal-to-noise ratio (SNR), data rate, received power and mean-square error (MSE) of the system under four water quality types [16]. In 2021, Sait et al found that salt particles in seawater cause light scattering and increasing salt concentration can increase the distance of NLOS communication, so Sait et al investigated the effect of vertical salinity gradient on NLOS UWOC and modeled the NLOS channel [17].…”

Section: Introductionmentioning

confidence: 99%

Characterization of Blue-Green Light Non-Line-of-Sight Transmission in Seawater

Ke¹,

Li²

2022

OPJ

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The blue-green light in the 450 nm to 550 nm band is usually used in underwater wireless optical communication (UWOC). The blue-green light transmission in seawater is scattered by the seawater effect and can achieve communication in non-line-of-sight (NLOS) transmission mode. Compared to line-of-sight (LOS) transmission, NLOS transmission does not require alignment and can be adapted to various underwater environments. The scattering coefficients of seawater at different depths are different, which makes the scattering of light in different depths of seawater different. In this paper, the received optical power and bit error rate (BER) of the photodetector (PD) were calculated when the scattering coefficients of blue-green light in seawater vary from large to small with increasing depth for NLOS transmission. The results show that blue-green light in different depths of seawater in the same way NLOS communication at the same distance, the received optical power and BER at the receiver are different, and the received optical power of green light is greater than that of blue light. Increasing the forward scattering coverage of the laser will suppress the received optical power of the PD, so when performing NLOS communication, appropriate trade-offs should be made between the forward scattering coverage of the laser and the received optical power.

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Section: Introductionmentioning

confidence: 99%

Characterization of Blue-Green Light Non-Line-of-Sight Transmission in Seawater

Ke¹,

Li²

2022

OPJ

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Study of Underwater Wireless Optical Communication Link Performance for Different Water Channels

Kumar

Prince

2022

Lecture Notes in Electrical Engineering

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Underwater VLC channel estimation based on Kalman filtering for direct current optical- and asymmetrically clipping optical- orthogonal frequency division multiplexing techniques

2023

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In this paper, we suppose an underwater optical wireless communication (UOWC) system, where the communication utilizes visible light communication for its advantages as wide spectrum, high data rate and high accuracy. The novelty of this paper is focused on improving the channel estimation between transmitter and receiver, where using Kalman Filter (KF) for channel estimation in UOWCs achieves the best results as compared to other traditional channel estimation methods. The scenario of this paper is summarized in transmitting data from transmitter to receiver via underwater harbor and coastal channels. Two channel models are utilized: weighted double gamma functions (WDGF) and a combination of exponential and arbitrary power function (CEAPF). The modulation technique used is optical orthogonal frequency division multiplexing with two kinds: direct current optical orthogonal frequency division multiplexing (DCO-OFDM) and asymmetrically clipping optical orthogonal frequency division multiplexing (ACO-OFDM). Three different techniques are used for channel estimation: Least Square (LS), minimum mean square error (MMSE), and KF. The simulation results reveal that the ACO-OFDM modulation technique with CEAPF channel modeling using KF achieves the lowest bit error rate (BER) compared to other channel estimation methods. The improvement percentage at BER = 10−1 is 13.3% for ACO-OFDM over DCO-OFDM with CEAPF in coastal water and is is 9.3% for WDGF. This indicates that CEAPF performs about 4% better than WDGF for ACO-OFDM than DCO-OFDM in terms of channel estimation.

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Channel estimation and error correction for UWOC system with vertical non-line-of-sight channel

Cited by 11 publications

References 25 publications

Characterization of Blue-Green Light Non-Line-of-Sight Transmission in Seawater

Characterization of Blue-Green Light Non-Line-of-Sight Transmission in Seawater

Study of Underwater Wireless Optical Communication Link Performance for Different Water Channels

Underwater VLC channel estimation based on Kalman filtering for direct current optical- and asymmetrically clipping optical- orthogonal frequency division multiplexing techniques

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