Performance analysis of V‐OFDM for acoustic communication along drill strings

Ma, Dong; Shi, Yibing; Zhang, Wei; Liu, Guozhen

doi:10.1049/iet-com.2016.0979

Cited by 4 publications

(3 citation statements)

References 23 publications

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“…where W ∼ CN (0, σ 2 ) is additive white complex Gaussian noise, and H <t,r> l is an M × M channel matrix. In [1], [4], the expression format of H <t,r> l is given directly. However, to illustrate the particularity of V-OFDM, we deduce the origin of H <t,r> l in detail.…”

Section: B Mimo-v-ofdm System Modelmentioning

confidence: 99%

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Pilot-Assisted MIMO-V-OFDM Systems: Compressed Sensing and Deep Learning Approaches

Zhang

Gao

et al. 2020

IEEE Access

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In this paper, we investigate the channel estimation and decoding methods exploiting the channel sparsity in pilot-assisted Multiple-Input Multiple-Output (MIMO) Vector Orthogonal Frequency Division Multiplexing (V-OFDM) systems. Based on the sparse multipath channels, we utilize orthogonal and non-orthogonal pilot schemes to design the compressed sensing (CS) measurement process. For the optimization of the sensing matrix, we discuss the influence of pilot search algorithms and evaluation criteria and propose a particle swarm optimization (PSO) based pilot search algorithm with the simplified evaluation criterion to improve the pilot design procedure. Meanwhile, the effect of pilot insertion on the Peak-to-Average Power Ratio (PAPR) is reduced by a particular precoding matrix method without affecting the decoding complexity. Simulation data are used to evaluate the classical sparsity adaptive matching (SAMP) algorithms and the proposed Variable Threshold SAMP (VTSAMP) algorithm, and the results show that the improved method has higher channel estimation accuracy with unknown sparsity. On the other hand, to overcome the complexity of CS-based decoding, we design the fully connected Deep Neural Network (FC-DNN) decoders, which combine the results of channel estimation results with the prevalent neural network technology. We observe that when the sparse channels are estimated accurately by CS methods, the proposed FC-DNN can achieve the same performance as the high-precision linear decoder by using the time-domain pilots and channel estimation results. INDEX TERMS MIMO, OFDM, compressed sensing, channel estimation, peak to average power ratio, decoding, neural networks.

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Section: B Mimo-v-ofdm System Modelmentioning

confidence: 99%

“…testing instruments [4]. The index modulation (IM) can be used for V-OFDM to reduce channel estimation errors and improve the Bit Error Ratio (BER) performance [5].…”

Section: Introductionmentioning

confidence: 99%

Pilot-Assisted MIMO-V-OFDM Systems: Compressed Sensing and Deep Learning Approaches

Zhang

Gao

et al. 2020

IEEE Access

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“…Ma D. first applied vector orthogonal frequency division multiplexing (V-OFDM) modulation technology to downlink communication technology, and studied different synchronization timing errors and detection schemes. Then, they gave a performance analysis of different schemes [14]. The application of electric current field information transmission technology has attracted much attention due to its low production cost and simple operation.…”

Section: Introductionmentioning

confidence: 99%

Research on New Drilling Downlink Communication Based on Anisotropic Magnetoresistive Technology

Zhang

et al. 2022

Energies

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With the continuous improvement of automatization of underground oil and gas resources exploitation, more and more instructions are required for the control technology while drilling in complex processes. The conventional downlink communication technology has shortcomings, such as data transmission lag and high bit error rate, which cannot meet the actual needs. Therefore, developing a new high-speed and low bit error rate (BER) downlink communication technology is very important. In this study, a new type of downlink communication system based on the electric current field is designed. Firstly, based on the theory of electromagnetic field and electromagnetic wave, the current distribution model of the drill string is established. Then, the magnetic field distribution model of the drill string is deduced according to the research on the static electromagnetic field and boundary problems. Finally, the ground simulation experiment platform of the downlink communication system is built and tested. The experimental results show that the BER is only 1.02% when the data transmission rate is 1 kbps. To further reduce the BER of the system, the influence factors of information transmission such as different transmitting voltage, inter-electrode distances, and working temperature are tested and analyzed, respectively, which provides ideas for optimizing the technology of downlink information communication while drilling.

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An adaptive timing synchronization for NC-OFDM-based acoustic communication on drill strings

Shi

Zhang

et al. 2017

2017 13th IEEE International Conference on Electronic Measurement &Amp; Instruments (ICEMI)

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Performance analysis of V‐OFDM for acoustic communication along drill strings

Cited by 4 publications

References 23 publications

Pilot-Assisted MIMO-V-OFDM Systems: Compressed Sensing and Deep Learning Approaches

Pilot-Assisted MIMO-V-OFDM Systems: Compressed Sensing and Deep Learning Approaches

Research on New Drilling Downlink Communication Based on Anisotropic Magnetoresistive Technology

An adaptive timing synchronization for NC-OFDM-based acoustic communication on drill strings

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