Efficient Sparse Signal Transmission over a Lossy Link Using Compressive Sensing.
Efficient Sparse Signal Transmission over a Lossy Link Using Compressive Sensing.
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DOI：
10.3390/s150819880
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发表时间：
2015-08-13
期刊：
影响因子：
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通讯作者：
Wang Z
中科院分区：
文献类型：
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作者：
Wu L;Yu K;Cao D;Hu Y;Wang Z
由于错误保护的开销，在有损通信链路上的可靠数据传输是昂贵的。对于具有固有稀疏结构的信号，应用压缩感测（CS）以促进在没有数据压缩或错误保护的情况下在有损通信链路上的高效稀疏信号传输。在有损链路中的自然分组丢失被建模为传输数据的随机采样过程，并且在接收端将使用基于CS的重构方法从有损传输结果重构原始信号。讨论了在不同信道条件下分组长度对传输效率的影响，并结合交织技术来减轻突发数据丢失的影响。大量的仿真和实验已经进行了比较，并与传统的自动重传请求（ARQ）插值技术，和非常有利的结果已经观察到的重建信号的精度和传输能量消耗。此外，分组长度效应为使用压缩感知经由有损链路进行高效稀疏信号传输提供了有用的见解。
Reliable data transmission over lossy communication link is expensive due to overheads for error protection. For signals that have inherent sparse structures, compressive sensing (CS) is applied to facilitate efficient sparse signal transmissions over lossy communication links without data compression or error protection. The natural packet loss in the lossy link is modeled as a random sampling process of the transmitted data, and the original signal will be reconstructed from the lossy transmission results using the CS-based reconstruction method at the receiving end. The impacts of packet lengths on transmission efficiency under different channel conditions have been discussed, and interleaving is incorporated to mitigate the impact of burst data loss. Extensive simulations and experiments have been conducted and compared to the traditional automatic repeat request (ARQ) interpolation technique, and very favorable results have been observed in terms of both accuracy of the reconstructed signals and the transmission energy consumption. Furthermore, the packet length effect provides useful insights for using compressed sensing for efficient sparse signal transmission via lossy links.