The average multicast rate (AMR) is analyzed in a multicast channel utilizing analog beamforming with finite-alphabet inputs, considering statistical channel state information (CSI). New expressions for the AMR are de...
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Agile-satellite mission planning is a crucial issue in the construction of satellite constellations. The large scale of remote sensing missions and the high complexity of constraints in agile-satellite mission plannin...
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Agile-satellite mission planning is a crucial issue in the construction of satellite constellations. The large scale of remote sensing missions and the high complexity of constraints in agile-satellite mission planning pose challenges in the search for an optimal solution. To tackle the issue, a dynamic destroy deep-reinforcement learning (D3RL) model is designed to facilitate subsequent optimization operations via adaptive destruction to the existing solutions. Specifically, we first perform a clustering and embedding operation to reconstruct tasks into a clustering graph, thereby improving data utilization. Secondly, the D3RL model is established based on graph attention networks (GATs) to enhance the search efficiency for optimal solutions. Moreover, we present two applications of the D3RL model for intensive scenes: the deep-reinforcement learning (DRL) method and the D3RL-based large-neighborhood search method (DRL-LNS). Experimental simulation results illustrate that the D3RL-based approaches outperform the competition in terms of solutions' quality and computational efficiency, particularly in more challenging large-scale scenarios. DRL-LNS outperforms ALNS with an average scheduling rate improvement of approximately 11% in Area instances. In contrast, the DRL approach performs better in World scenarios, with an average scheduling rate that is around 8% higher than that of ALNS.
异构VDES(VHF data exchange system)星座采用相同的通信频率和时分多址通信机制,使得异构星座重复覆盖区域内存在大量由时隙冲突造成的同频干扰,严重影响通信质量。针对此问题,提出一种基于深度Q网络(DQN)的星座间兼容策略。基于VDES...
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异构VDES(VHF data exchange system)星座采用相同的通信频率和时分多址通信机制,使得异构星座重复覆盖区域内存在大量由时隙冲突造成的同频干扰,严重影响通信质量。针对此问题,提出一种基于深度Q网络(DQN)的星座间兼容策略。基于VDES通信流程,设置船站作为资源信息中转节点,赋予卫星对通信环境的感知能力。在此基础上,将异构星座场景下的资源分配问题建模为强化学习问题,提出一种基于DQN的时隙资源分配算法。通过重构历史资源信息和当前资源信息,规划最优时隙资源分配方案,并根据结果对算法迭代优化。仿真结果表明,所提出的策略可以有效提高通信性能。
To reduce the burden of multiple sensors on satellites with limited resources, distributed compressed sensing (DCS) is applied to microvibration measurement. An improved joint recovery algorithm using the recovered sp...
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To reduce the burden of multiple sensors on satellites with limited resources, distributed compressed sensing (DCS) is applied to microvibration measurement. An improved joint recovery algorithm using the recovered spectrum coefficients as the halting condition is proposed. This improvement can address the drawback that the previous algorithms need to anticipate signal sparsity or use residuals that do not reflect recovery accuracy in the frequency domain as the halting condition. In addition, acceleration is adopted in the improved algorithm. The DCS-based microvibration measurement was conducted on a satellite mechanical test model. The results reveal that the DCS measurement has a difference in the order of 1e-10 g2/Hz between the power spectrum density (PSD) of the raw data and the recovery data. With one-fifth sampling points of the raw signal, it can achieve a signal difference of less than 4% in PSD, which demonstrates the viability of satellite microvibration measure-ment based on DCS.
We simulate some scenarios that 2/3 LEO satellites enhance 3/4/5 GPS satellites, to assess LEO-augmented GPS RTK positioning in signal-degraded environment. The e ffects of LEO-augmented GPS RTK in terms of reliabilit...
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We simulate some scenarios that 2/3 LEO satellites enhance 3/4/5 GPS satellites, to assess LEO-augmented GPS RTK positioning in signal-degraded environment. The e ffects of LEO-augmented GPS RTK in terms of reliability, availability and accuracy are presented, and the DIA algorithm is applied to deal with the poor data quality.
In this letter, we simulate GNSS/LEO measurements and propose a process strategy for LEO-augmented GNSS medium length baseline RTK. Experiments show that, the performance of GNSS medium length baseline RTK can be sign...
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In this letter, we simulate GNSS/LEO measurements and propose a process strategy for LEO-augmented GNSS medium length baseline RTK. Experiments show that, the performance of GNSS medium length baseline RTK can be significantly improved by introducing LEO satellites. The convergence speed of LEO-augmented GPS or BDS float solution maybe better than GPS/BDS combined under the conditions of similar satellite geometry. Besides, the RMS error of fixed solutions are improved to better than 4 cm from sub-decimeter level.
Time-encoded imaging could be useful for searching potential radioactive sources for preventing illicit trans-portation and trafficking of nuclear materials. A 2-D, dual-particle, time-encoded imager was developed for...
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Time-encoded imaging could be useful for searching potential radioactive sources for preventing illicit trans-portation and trafficking of nuclear materials. A 2-D, dual-particle, time-encoded imager was developed for gamma-ray and neutron source imaging. The influence of central detector and coded mask rotation speed to imaging performance, such as angular resolution, signal-to-noise ratio and detection time, was investigated by Am-Be neutron source imaging experiments. The EJ276 plastic scintillator (Size: phi 5.08 cm x 5.08 cm) and CLYC scintillator (Size: phi 2.54 cm x 2.54 cm) couple to photomultiplier tubes was set as the central detector, respectively. Under the experiment conditions (Am-Be neutron source;300 mCi;1.8 m), for the neutron and gamma-ray images with EJ276 detector, the best horizontal and vertical angular resolution was (3.7 degrees, 4.8 degrees) and (5.9 degrees, 6.6 degrees), minimum detection time was 100 s and 600 s, respectively;for the neutron and gamma-ray images with CLYC detector, the best horizontal, vertical angular resolution was (3.1 degrees, 3.1 degrees) and (3.5 degrees, 3.3 degrees), minimum detection time was 2200 s and 1600 s, respectively. For different central detector, the results showed that the smaller volume of detector, the better angular resolution;the lower detection efficiency, the longer detection time. For different rotation speed, too fast rotation speed can lead to failure to locate the source.
Chirp signal has been used in some fields, like radar and sonar. In recent years, the symmetry chirp signal (SCS) is a kind of revised Long Range (LoRa) chirp signal and proposed to be used in low-earth-orbit (LEO) sa...
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Chirp signal has been used in some fields, like radar and sonar. In recent years, the symmetry chirp signal (SCS) is a kind of revised Long Range (LoRa) chirp signal and proposed to be used in low-earth-orbit (LEO) satellite Internet of Things (IoT) for low-data-rate transmission. However, in terms of the complexity and performance, the traditional acquisition methods to capture SCS (time delay and frequency offset acquisition) will have some limitations in LEO satellite IoT. Thus, this letter presents a new acquisition method to balance the complexity and performance for SCS.
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