Application of the compressed sensing theory in the IR-UWB system channel estimation

Xuan Dong, Lihui Pan, Rui Pan, Wei Shan
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Abstract

The channel estimation of IR-UWB ultra wideband wireless communication system realized by using compressed sensing theory. Firstly, sparse signal, observation matrix and reconstruction algorithm of compressed sensing theory were discussed. Secondly, discussed the composition of IR-UWB wireless communication system. The IEEE802.15.SG3a channel model was adopted for UWB multipath channel. According to the matrix calculation method of cyclic convolution, the compressed sensing model for channel estimation of IR-UWB system was derived, and GOMP algorithm was used to reconstruct the channel parameters of IR-UWB system. With the help of Matlab software, the simulation results showed that GOMP algorithm can reconstruct the channel parameters of IR-UWB system well.
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压缩感知理论在IR-UWB系统信道估计中的应用
利用压缩感知理论实现了超宽带无线通信系统的信道估计。首先讨论了压缩感知理论中的稀疏信号、观测矩阵和重构算法;其次,讨论了IR-UWB无线通信系统的组成。IEEE802.15。UWB多径信道采用SG3a信道模型。根据循环卷积矩阵计算方法,推导了红外-超宽带系统信道估计的压缩感知模型,并利用GOMP算法重构了红外-超宽带系统的信道参数。在Matlab软件的帮助下,仿真结果表明,GOMP算法可以很好地重建IR-UWB系统的信道参数。
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