A continuous phase-frequency modulation technique and adaptive pump noise cancellation method of continuous-wave signal over mud telemetry channel

Wu, Jiafeng; Zhao, Shuxing; Zhang, Jingwei; Wang, Ruihe

doi:10.1016/j.dsp.2021.103147

Cited by 13 publications

(4 citation statements)

References 24 publications

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“…Here, I 1 and I 2 represent the amplitudes of the two beat signals, s(t) and s(t + ∆t) represent two cosine effective signals with similar characteristics, ∆t represents the time delay between the two signals, and n 1 (t) and n 2 (t) represent noise signals within the two signals. Substituting beat signals x(t) and y(t) into equation (10) and performing cross-correlation operations yields…”

Section: Principle Of the Standard Cross-correlation Methodsmentioning

confidence: 99%

“…Through leveraging of its noncontact nature, high precision, low weight, expansive dynamic measurement range, and heightened sensitivity [6][7][8][9], FMCW laser interferometry has emerged as the principal technological solution for ultraprecision measurement and machining. It has found extensive application in the manufacturing of various large-scale precision machining equipment and research endeavors [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

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Frequency-modulated continuous-wave laser interferometry measurement method based on cross-correlation

Zhang,

Yan,

et al. 2024

Meas. Sci. Technol.

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Frequency-modulated continuous-wave (FMCW) laser interferometry technology holds significant potential for applications in the fields of ultraprecision manufacturing and high-precision sensing. This paper proposes a novel approach among current phase demodulation methods is based on cross-correlation to address the challenge of this technology. On the basis of nonlinear correction of a distributed feedback (DFB) laser, the intercepted beat frequency signal was first preprocessed with Z-score signal normalization and a smoothing filter. Subsequently, the interference beat signal was subjected to processing using a correlation method to derive the correlation function. Finally, the phase difference between adjacent beat signals was determined by pinpointing the maximum value of the cross-correlation function, enabling accurate displacement demodulation. Experimental validation was performed by constructing an FMCW laser interferometric displacement measurement system. The results indicated that the standard deviation of the displacement error for the cross-correlation method was 2.41 nm during static measurements. Compared to conventional maximum-point method, the static measurement error of the cross-correlation method has been reduced by 1.43 times. In dynamic measurements in the 500 µm range, The measurement error of the cross-correlation method has been reduced by 6.04 times, avoiding the dynamic measurement positioning problem of conventional feature point demodulation methods and making the measurement results more accurate. This advancement holds substantial practical value in the realm of phase demodulation in laser interferometry.

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Section: Principle Of the Standard Cross-correlation Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Frequency-modulated continuous-wave laser interferometry measurement method based on cross-correlation

Zhang,

Yan,

et al. 2024

Meas. Sci. Technol.

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“…Additionally, OQPSK offers the same data transmission rate and bit error rate as QPSK under the same signal power and bandwidth conditions [36]. To overcome the issue of undesirable signal waveform caused by the difficulty of abrupt changes in the rotating valve speed, Wu et al [37] proposed a continuous phase frequency keying (CPFK) technique. This approach allows for precise control of waveform generation while ensuring smooth rotation of the valve.…”

Section: Coding and Modulation Of The Mud Pulse Signalmentioning

confidence: 99%

A Review of Communication Technologies in Mud Pulse Telemetry Systems

Li,

2023

Electronics

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Mastering real-time and accurate downhole information is crucial for ensuring drilling safety, improving drilling efficiency, and maximizing economic benefits. In recent years, logging while drilling (LWD) technologies, represented by mud pulse telemetry (MPT), achieved significant success. However, they still face challenges such as a large amount of downhole information conflicting with low information transmission rates, severe channel distortion, strong noise interference, and weak surface receiving signals. Therefore, this review collects and updates the papers, patents, and conference articles in the relevant field over the past ten years. Starting from the basic structure of communication systems, the downhole signal coding and modulation technologies of the MPT system are discussed. The attenuation reflection brought by the mud channel and various noise interferences in the system are described. The surface noise cancellation, channel equalization, synchronization, and decoding are studied in detail. By analyzing the theoretical principles, development breakthroughs, and relevant challenges that can improve the development of LWD technologies, this review aims to assist researchers in the field in obtaining the latest references and strategies.

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“…Currently, with the development of modern signal processing techniques and related theories and algorithms, non-collaborative communication is being used more and more widely in various fields [11][12][13]. In communication systems, different modulation methods are used for electronic communication signals to meet different user requirements and make full use of channel capacity [14]. With the rapid development of communication technology and the increasing requirements of users for information transmission, electronic communication signal modulation methods have undergone the development process from analog to digital and from single-carrier to multi-carrier, forming a situation where multiple communication systems coexist [15].…”

Section: Introductionmentioning

confidence: 99%

Research on non-smooth signal identification algorithm for electronic communication in a two-way relay network

Liu,

Liu

2023

Applied Mathematics and Nonlinear Sciences

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To better allow accurate identification of non-smooth signals in two-way relay networks. In this paper, an algorithm based on the two-way relay network system model, the RLS algorithm, is proposed. The algorithm introduces the recursive least squares principle algorithm to the basic cost function of nonsmooth signal identification, optimizes the signal identification model by exponential weighting, and uses the time-varying variance matrix and the optimal identification data separation matrix to make real-time estimates of the new cost function for obtaining nonsmooth signals. And a new index, the PI index, is introduced to define whether the non-stationary signal is stable and reliable. Through two sets of comparison tests, we can learn that the RLS algorithm based on the two-way relay network system is better than other algorithms in the identification of non-stationary signals. It shows that the RLS algorithm can better identify and manage the information flow in a two-way relay network, make the non-stationary signal more stable, and further improve the convergence and convergence speed of the non-stationary signal to provide a better information interaction experience for both sides of electronic communication.

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A continuous phase-frequency modulation technique and adaptive pump noise cancellation method of continuous-wave signal over mud telemetry channel

Cited by 13 publications

References 24 publications

Frequency-modulated continuous-wave laser interferometry measurement method based on cross-correlation

Frequency-modulated continuous-wave laser interferometry measurement method based on cross-correlation

A Review of Communication Technologies in Mud Pulse Telemetry Systems

Research on non-smooth signal identification algorithm for electronic communication in a two-way relay network

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