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Satellite clock bias prediction plays a crucial role in enhancing the accuracy of satellite navigation systems. In this paper, we propose an approach utilizing Long Short-Term Memory (LSTM) networks to predict satellite clock bias. We…

Machine Learning · Computer Science 2024-11-12 Ahan Bhatt , Ishaan Mehta , Pravin Patidar

The use of modern software-defined radio (SDR) devices enables the implementation of efficient communication systems in numerous scenarios. Such technology comes especially handy in the context of search and rescue (SAR) systems, enabling…

Signal Processing · Electrical Eng. & Systems 2023-12-11 Daniel Gil Gaviria , Marcus Müller , Felix Artmann , Laurent Schmalen

Cross-correlation is a popular signal processing technique used in numerous location tracking systems for obtaining reliable range information. However, its efficient design and practical implementation has not yet been achieved on mote…

Other Computer Science · Computer Science 2016-06-14 Prasant Misra , Wen Hu , Mingrui Yang , Marco Duarte , Sanjay Jha

Satellite communication is a key technology in our modern connected world. With increasingly complex hardware, one challenge is to efficiently configure links (connections) on a satellite transponder. Planning an optimal link configuration…

Artificial Intelligence · Computer Science 2025-09-03 Tobias Rohe , Michael Kölle , Jan Matheis , Rüdiger Höpfl , Leo Sünkel , Claudia Linnhoff-Popien

In this article, we propose an index modulation system suitable for optical communications, based on jointly driving the time and frequency of the signal: an index-time frequency hopping (I-TFH) system. We analyze its performance from the…

Signal Processing · Electrical Eng. & Systems 2020-02-27 Francisco J. Escribano , Alexandre Wagemakers , Georges Kaddoum , Joao V. C. Evangelista

Many speech and music analysis and processing schemes rely on an estimate of the fundamental frequency $f_0$ of periodic signal components. Most established schemes apply rather unspecific signal models such as sinusoidal models to the…

Sound · Computer Science 2021-12-23 Volker Hohmann

Beam hopping (BH) is a satellite communications technique in which sets of beams are sequentially illuminated over a defined time interval. Geographically varying the duty cycle of satellite transmission allows for reduced resource wastage…

Optimization and Control · Mathematics 2024-08-20 Angus Gaudry , Vicky Mak-Hau

This paper proposes a spatially common sparsity based adaptive channel estimation and feedback scheme for frequency division duplex based massive multi-input multi-output (MIMO) systems, which adapts training overhead and pilot design to…

Information Theory · Computer Science 2023-10-20 Zhen Gao , Linglong Dai , Zhaocheng Wang , Sheng Chen

Boosting is a well-known method for improving the accuracy of weak learners in machine learning. However, its theoretical generalization guarantee is missing in literature. In this paper, we propose an efficient boosting method with…

Machine Learning · Computer Science 2020-04-02 Jinshan Zeng , Min Zhang , Shao-Bo Lin

The firing squad synchronization problem (FSSP) on cellular automata has been studied extensively for more than forty years, and a rich variety of synchronization algorithms have been proposed for not only one-dimensional arrays but…

Formal Languages and Automata Theory · Computer Science 2012-08-15 Hiroshi Umeo , Kinuo Nishide , Keisuke Kubo

Satellite communications can provide massive connections and seamless coverage, but they also face several challenges, such as rain attenuation, long propagation delays, and co-channel interference. To improve transmission efficiency and…

Signal Processing · Electrical Eng. & Systems 2024-10-27 Peiwen Jiang , Chao-Kai Wen , Xiao Li , Shi Jin , Geoffrey Ye Li

State-space models (SSMs) that utilize linear, time-invariant (LTI) systems are known for their effectiveness in learning long sequences. To achieve state-of-the-art performance, an SSM often needs a specifically designed initialization,…

Machine Learning · Computer Science 2024-10-03 Annan Yu , Michael W. Mahoney , N. Benjamin Erichson

Fast and reliable state estimation and tracking are essential for real-time situation awareness in Cyber-Physical Systems (CPS) operating in tactical environments or complicated civilian environments. Traditional centralized solutions do…

Machine Learning · Computer Science 2024-09-17 Connor Mclaughlin , Matthew Ding , Deniz Erdogmus , Lili Su

In this paper we propose the introduction of adaptive hybrid automatic repeat request (HARQ) in the context of mobile satellite communications. HARQ schemes which are commonly used in terrestrial links, can be adapted to improve the…

Networking and Internet Architecture · Computer Science 2015-03-17 Rami Ali Ahmad , Jérôme Lacan , Fabrice Arnal , Mathieu Gineste , Laurence Clarac

The throughput efficiency of a wireless mesh network with potentially malicious external or internal interference can be significantly improved by equipping routers with multi-radio access over multiple channels. For reliably mitigating the…

Networking and Internet Architecture · Computer Science 2023-01-24 Yung-Fu Chen , Anish Arora

This work presents a new method for enhancing communication efficiency in stochastic Federated Learning that trains over-parameterized random networks. In this setting, a binary mask is optimized instead of the model weights, which are kept…

Machine Learning · Computer Science 2024-03-01 Mohamad Mestoukirdi , Omid Esrafilian , David Gesbert , Qianrui Li , Nicolas Gresset

For mission-critical massive machine-type communications (mMTC) applications, the messages are required to be delivered in real-time. However, due to the weak security protection capabilities of the low-cost and low-complexity machine-type…

Cryptography and Security · Computer Science 2023-01-04 Shao-Di Wang , Hui-Ming Wang , Zhetao Li , Victor C. M. Leung

Orthogonal time frequency space (OTFS) modulation is a robust candidate waveform for future wireless systems, particularly in high-mobility scenarios, as it effectively mitigates the impact of rapidly time-varying channels by mapping…

Signal Processing · Electrical Eng. & Systems 2026-01-12 Meiwen Men , Tao Zhou , Kaifeng Bao , Zhiyang Guo , Yongning Qi , Liu Liu , Bo Ai

We describe and compare several post-correlation radio frequency interference classification methods. As data sizes of observations grow with new and improved telescopes, the need for completely automated, robust methods for radio frequency…

Instrumentation and Methods for Astrophysics · Physics 2010-07-14 A. R. Offringa , A. G. de Bruyn , M. Biehl , S. Zaroubi , G. Bernardi , V. N. Pandey

Hybrid precoding, which consists of an RF precoder and a baseband precoder, is a popular precoding architecture for massive MIMO due to its low hardware cost and power consumption. In conventional hybrid precoding, both RF and baseband…

Information Theory · Computer Science 2018-07-04 An Liu , Vincent Lau , Min-Jian Zhao