Distributed compressed sensing for the MIMO MAC with correlated sources
Distributed compressed sensing for the MIMO MAC with correlated sources
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DOI：
10.1109/icc.2012.6363969
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发表时间：
2012-06
期刊：
影响因子：
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通讯作者：
S. Corroy;R. Mathar
中科院分区：
文献类型：
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作者：
S. Corroy;R. Mathar
In this paper we consider the transmission of jointly sparse signals over a MIMO MAC composed of two transmitters and one receiver. Distributed compression is performed at the transmitters using a liner transformation and joint reconstruction at the receiver is enabled using the theory of distributed compressed sensing. The objective is to minimize the sum MSE between the uncompressed signals at the transmitter and the recovered signals at the receiver. We present a new theoretical framework to study this problem and provide an algorithm enabling to transmit correlated signals over a MIMO MAC, which performs provably close to optimal. To validate our approach we analyze the performance of our system for different noise conditions and varying compression factors. The results show that distributed compressed sensing can be performed reliably over a MIMO MAC.
