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A Cross-Layer Image Transmission Method for Deep-Space Exploration

机译：一种跨层图像传输的深空探测方法

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摘要

High efficiency and reliable image transmission is critical for deep-space communications. In the traditional deep-space image transmission system design, the work is mainly focused on the compression efficiency and the coding gain, respectively, while neglecting the implementation complexity. To improve the transmission efficiency of images in deep-space communication with a long delay, while satisfying the affordable implementation complexity, cross-layer design is critical. In this paper, we propose a novel high-efficiency cross-layer image transmission method for deep-space exploration. The proposed method is designed based on compressed sensing (CS) in the application layer, the Spinal codes in the physical layer, and the Licklider transmission protocol (LTP) in the transport layer. By jointly optimizing across the application, transport, and physical layers, we consider the time-varying deep-space channel and proposed a CS-error-tolerant rate-adaptive strategy based on the robustness of CS to error. Extensive simulations are carried out for performance evaluation. Results show that the proposed cross-layer image transmission method with the CS-error-tolerant rate-adaptive strategy can significantly improve the performance of transmission efficiency.
机译：高效和可靠的图像传输对于深空通信至关重要。在传统的深空图像传输系统设计中，工作主要集中在压缩效率和编码增益上，而忽略了实现的复杂性。为了在漫长的延迟中提高深空通信中图像的传输效率，同时满足可承受的实现复杂性，跨层设计至关重要。在本文中，我们提出了一种用于深空探测的新型高效跨层图像传输方法。该方法是基于应用层的压缩感知（CS），物理层的Spinal码以及传输层的Licklider传输协议（LTP）设计的。通过在应用程序，传输和物理层之间进行联合优化，我们考虑了时空深空信道，并基于CS对错误的鲁棒性，提出了一种CS容错速率自适应策略。进行了广泛的仿真以评估性能。结果表明，提出的具有CS容错率自适应策略的跨层图像传输方法可以显着提高传输效率。

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