Research on Synchronization Technology for OFDM Underwater Acoustic Communication System

De, Zhang; Fan, Maojun; Zha, Wenzhong; Xiong, Minglei; Chen, Longdong

doi:10.1109/icitbs.2019.00056

Cited by 5 publications

(4 citation statements)

References 1 publication

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“…The acoustic wave is utilized as a carrier wave for UWC. 4 For data transmission with higher speed along with reliability underwater, the only approach is the UWA channel. 5 With a long delay spread together with a strong Doppler effect, the UWA communication is subjected to multipath propagation.…”

Section: Introductionmentioning

confidence: 99%

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A new optimized least‐square sparse channel estimation scheme for underwater acoustic communication

Kumar

2023

Int J Communication

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Summary In underwater acoustic (UWA) communication, orthogonal frequency division multiplexing (OFDM) is a promising technology that is highly essential to get channel state information meant for channel estimation (CE). Nevertheless, higher complexity, slower convergence, and poor performance, which degrade the performance estimation, are the limitations of the traditional CE methodologies. Thus, by amalgamating the least square (LS)‐CE algorithm along with polynomial interpolated black widow optimization (PI‐BWO) model, an optimized least square sparse (OLSS) CE algorithm has been proposed to intend for a UWA‐OFDM communication system. Formerly, by utilizing the 2's complement shift left turbo encoding (2CSL‐TE) methodology, the input signal is encoded. After that, the modulated encoded signal is provided for inverse fast Fourier transform (IFFT) operations; subsequently, they are transferred over the UWA channel toward the receiver OFDM. By employing the OLSS methodology, the received OFDM signal's interference‐free region is utilized for sparse CE at the receiver. Regarding symbol error rate (SER), bit error rate (BER), mean square error (MSE), and peak signal‐to‐noise ratio (PSNR), the proposed model's experiential outcome is evaluated and analogized with the other prevailing methodologies. When analogized with the conventional models, the proposed estimation methodologies achieved better performance.

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Section: Introductionmentioning

confidence: 99%

“…Through the use of acoustic wave transmission, it is possible to have reliable UWC. The acoustic wave is utilized as a carrier wave for UWC 4 . For data transmission with higher speed along with reliability underwater, the only approach is the UWA channel 5 .…”

Section: Introductionmentioning

confidence: 99%

A new optimized least‐square sparse channel estimation scheme for underwater acoustic communication

Kumar

2023

Int J Communication

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“…1 Furthermore, determining the efficacy of resource management and conservation while producing and rationally employing them has become a key and essential problem that must be addressed. Academics and industry 2 are interested in creating an underwater sensor network capable of delivering long-term underwater environment monitoring, 3 real-time underwater activity surveillance, and marine disaster warning services. The use of cordless underwater acoustic (UWA) sensors in collaborative monitoring missions opens up new avenues for exploring natural undersea resources and gathering scientific data.…”

Section: Introductionmentioning

confidence: 99%

An improved underwater wireless sensor network communication using Internet of Things and signal to noise ratio analysis

Kapileswar

Polasi

2022

Trans Emerging Tel Tech

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Underwater acoustic (UWA) channels are widely regarded as one of the most challenging communication mediums. Low frequencies are best for acoustic propagation, and the bandwidth available for communication is extremely small. The worst channel situation often limits the efficiency of UWA communication systems due to the difficulty and time‐varying nature of the UWA channel. To solve the existing limitations related with underwater signal transmission and communication, an improved underwater communication system incorporated with Internet of Things (IoT) is proposed in this work. The proposed system utilizes the orthogonal signal division multiplexing modulation technique. Here the signal transmission process is achieved with the help of an IoT network system. An improved AdaBoost channel estimation algorithm is used to obtain the channel information. This work utilizes an improved stochastic gradient descent optimization method for selecting the suitable mode of signal transmission based on the estimated channel. Further, an adaptive recursive least square channel equalization algorithm is used for channel compensation. The simulation results are obtained with the help of the MATLAB platform. The performance is analyzed in terms of parameters such as signal to noise ratio, bit error rate, and mean square error. A comparison of the proposed method is also made with the existing methods. The evaluation results show that the proposed method performs better than the existing methods.

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“…Orthogonal frequency division multiplexing (OFDM) technology has high spectrum efficiency and strong anti-multipath ability, 2 which is the most commonly used technology to realize high-speed underwater acoustic communication. Typically, timing estimation entails a known preamble, which is easily detected by the receiver before the transmitted data.…”

mentioning

confidence: 99%

Timing estimation of multiple hyperbolic frequency‐modulated signals based on multicarrier underwater acoustic communication

Cui

Yan

et al. 2022

Trans Emerging Tel Tech

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Underwater acoustic channel is much more complex than radio channel. Background noise, multipath extension, and Doppler frequency shift are all factors that affect high‐speed and stability for underwater communication. Orthogonal frequency division multiplexing (OFDM) is a modulation technology with high spectrum efficiency and strong anti‐multipath ability, usually used in high‐speed underwater acoustic communication. Signal arrival time detection and timing estimation before receiving data is an essential module in an underwater communication system. Timing estimation error will seriously affect the demodulation of the signal. In order to solve the problem of a complex channel environment in underwater acoustic communication system, a timing estimation method is proposed based on multiple hyperbolic frequency‐modulated (MHFM) signals. In order to improve the performance of underwater acoustic communication systems, this article proposes an iterative method of correlation‐sum‐mean absolute error (MAE) based on hyperbolic frequency‐modulated (HFM). The simulation results show that the proposed method can provide better performance and higher timing estimation accuracy under the conditions of low signal‐to‐noise ratio (SNR) and Doppler effect under oceanic noise channel and Doppler spread channel.

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Research on Synchronization Technology for OFDM Underwater Acoustic Communication System

Cited by 5 publications

References 1 publication

A new optimized least‐square sparse channel estimation scheme for underwater acoustic communication

A new optimized least‐square sparse channel estimation scheme for underwater acoustic communication

An improved underwater wireless sensor network communication using Internet of Things and signal to noise ratio analysis

Timing estimation of multiple hyperbolic frequency‐modulated signals based on multicarrier underwater acoustic communication

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