A theoretical analysis of the spatial multi channel compressed sensing model
A theoretical analysis of the spatial multi channel compressed sensing model
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DOI：
10.1109/spawc.2017.8227779
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发表时间：
2017-07
期刊：
影响因子：
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通讯作者：
Tobias Schnier;C. Bockelmann;A. Dekorsy
中科院分区：
文献类型：
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作者：
Tobias Schnier;C. Bockelmann;A. Dekorsy
压缩感知（CS）框架被大量利用，以降低数据速率在硬件限制的情况下，通过利用固有的稀疏性的传输数据。同时考虑多个传感器，多通道（MC）框架的一个变体在一个时刻进行多个测量，然后在空间域中使用CS来压缩数据。本文通过计算相应MC传感矩阵的相干性和受限等距常数（RIC），对所提出的系统进行了理论分析。此外，我们提供仿真结果，以进一步显示该系统的适用性和优势。
The Compressed Sensing (CS) framework is heavily utilized to reduce data rate in hardware restricted scenarios by exploiting the intrinsic sparsity of the transmitted data. Considering multiple sensors at the same time, one variation of the Multi Channel (MC) framework takes several measurements at one time instant and then uses CS in the spatial domain to compress the data. This paper provides a theoretical analysis of the proposed system by computing the coherence and the Restricted Isometry Constant (RIC) of the corresponding MC sensing matrix. Additionally, we provide simulation results to further show the applicability and advantages of this system.