Altitude-Based Dynamics Modulation and Power Analysis in LEO Satellites

IF 0.6 Q4 AUTOMATION & CONTROL SYSTEMS
Shahid Ali,  Bingli Jiao
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引用次数: 0

Abstract

Efficient signal modulation schemes are crucial for optimizing communication performance in low Earth orbit (LEO) satellite systems. Traditionally, uniform modulation methods are applied across the satellite constellation, regardless of variations in satellite distances from ground stations. However, this approach leads to inefficient signal power utilization, particularly for satellites at higher altitudes. This paper proposes a novel solution to this issue by implementing dynamic modulation strategies tailored to specific altitude ranges of LEO satellites. Through dynamic modulation, we utilize binary phase-shift keying (BPSK) and quadrature phase-shift keying (QPSK) for satellites positioned farther from earth, while higher-order constellations are used for satellites in closer proximity. This altitude-dependent modulation scheme aims to improve power efficiency throughout the LEO satellite network. Our results demonstrate a significant enhancement in power efficiency across the LEO satellite system compared to the conventional uniform modulation scheme. The adaptability of this dynamic modulation approach to satellite altitude variations allows for more judicious utilization of signal power, thereby maximizing communication quality and network reliability. We validate the effectiveness of the proposed method through extensive simulations.

Abstract Image

低轨卫星基于高度的动态调制与功率分析
有效的信号调制方案是优化低地球轨道卫星系统通信性能的关键。传统上,均匀调制方法在整个卫星星座中应用,而不考虑卫星与地面站的距离变化。然而,这种方法导致信号功率利用效率低下,特别是对于高海拔的卫星。本文提出了一种针对低轨道卫星特定高度范围的动态调制策略来解决这一问题。通过动态调制,我们对距离地球较远的卫星使用二元相移键控(BPSK)和正交相移键控(QPSK),而对距离较近的卫星使用高阶星座。这种高度相关的调制方案旨在提高整个低轨道卫星网络的功率效率。我们的研究结果表明,与传统的均匀调制方案相比,低轨道卫星系统的功率效率显著提高。这种动态调制方法对卫星高度变化的适应性允许更明智地利用信号功率,从而最大限度地提高通信质量和网络可靠性。我们通过大量的仿真验证了所提方法的有效性。
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来源期刊
AUTOMATIC CONTROL AND COMPUTER SCIENCES
AUTOMATIC CONTROL AND COMPUTER SCIENCES AUTOMATION & CONTROL SYSTEMS-
CiteScore
1.70
自引率
22.20%
发文量
47
期刊介绍: Automatic Control and Computer Sciences is a peer reviewed journal that publishes articles on• Control systems, cyber-physical system, real-time systems, robotics, smart sensors, embedded intelligence • Network information technologies, information security, statistical methods of data processing, distributed artificial intelligence, complex systems modeling, knowledge representation, processing and management • Signal and image processing, machine learning, machine perception, computer vision
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