Low Complexity Implementation of Carrier and Symbol Timing Synchronization for a Fully Digital Downhole Telemetry System

Yang, Yifei; Lie, Joni Polili; Quintero, Alberto

doi:10.1109/icassp.2018.8461462

Cited by 4 publications

(2 citation statements)

References 10 publications

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“…Also real-time processing poses a significant challenge in various digital signal processing applications, demanding low potential to meet real-world requirements effectively. The presence of noise and interference in real-world signals introduces complexities, impacting the accuracy and reliability of digital signal processing algorithms [50]. Ensuring the precision and robustness of these algorithms is crucial, particularly in applications like medical signal processing and speech recognition, where inaccuracies could have significant consequences.…”

Section: Challenges and Draw Backs In Digital Signal Processingmentioning

confidence: 99%

A review in advanced digital signal processing systems

Mugumya,

Akankunda,

Matsiko

et al. 2024

KJSET

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Digital Signal Processing (DSP) is a powerful technology that helps in making sense of various signals, like sounds and images, using computers. This review paper explains the meaning of DSP, shows how it works to process and enhance signals. It explores the wide range of signal processing methods, categorizing them from basic noise reduction to advanced machine learning algorithms, and how they are used today to improve the quality of audio, images, medical data, and other control systems. The paper further examines into signal processing techniques, providing a comprehensive understanding of the diverse methodologies employed in DSP applications. Additionally, it addresses not only the advancements but also the drawbacks associated with advanced DSP systems, offering insightful recommendations for overcoming challenges and optimizing performance. This review also includes categories of DSP methods, providing a structured overview of the different approaches within the field. It offers a clear and concise understanding of DSP, its practical uses, and its exciting potential in the digital age

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Section: Challenges and Draw Backs In Digital Signal Processingmentioning

confidence: 99%

A review in advanced digital signal processing systems

Mugumya,

Akankunda,

Matsiko

et al. 2024

KJSET

View full text Add to dashboard Cite

show abstract

“…There are several efforts on addressing the Nav-SOP problems for receiver design and positioning algorithms. In [ 1 , 2 ], the Doppler measurements were obtained from Quadrature Phase-Shift Keying (QPSK) signals of LEO satellites by using carrier synchronization and signal processing design. An opportunistic positioning method using LTE downlink signals was designed, also, a Software-Defined Receiver (SDR) was implemented for extracting and tracking the pseudorange rate measurement from LTE signals in [ 3 ].…”

Section: Related Workmentioning

confidence: 99%

Multi-Constellation Software-Defined Receiver for Doppler Positioning with LEO Satellites

Farhangian

Landry

2020

Sensors

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A Multi-Constellation Software-Defined Receiver (MC-SDR) is designed and implemented to extract the Doppler measurements of Low Earth Orbit (LEO) satellite’s downlink signals, such as Orbcomm, Iridium-Next, Globalstar, Starlink, OneWeb, SpaceX, etc. The Doppler positioning methods, as one of the main localization algorithms, need a highly accurate receiver design to track the Doppler as a measurement for Extended Kalman Filter (EKF)-based positioning. In this paper, the designed receiver has been used to acquire and track the Doppler shifts of two different kinds of LEO constellations. The extracted Doppler shifts of one Iridium-Next satellite as a burst-based simplex downlink signal and two Orbcomm satellites as continuous signals are considered. Also, with having the Two-Line Element (TLE) for each satellite, the position, and orbital elements of each satellite are known. Finally, the accuracy of the designed receiver is validated using an EKF-based stationary positioning algorithm with an adaptive measurement matrix. Satellite detection and Doppler tracking results are analyzed for each satellite. The positioning results for a stationary receiver showed an accuracy of about 132 m, which means 72% accuracy advancements compared to single constellation positioning.

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Navigation from Low‐Earth Orbit

Kassas

2020

Position, Navigation, and Timing Technologies in the 21st Century

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Low Complexity Implementation of Carrier and Symbol Timing Synchronization for a Fully Digital Downhole Telemetry System

Cited by 4 publications

References 10 publications

A review in advanced digital signal processing systems

A review in advanced digital signal processing systems

Multi-Constellation Software-Defined Receiver for Doppler Positioning with LEO Satellites

Navigation from Low‐Earth Orbit

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