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

Xuan Dong; Li-hui Pan; Rui Pan; Wei Shan

doi:10.1117/12.2667442

22 February 2023 Application of the compressed sensing theory in the IR-UWB system channel estimation

Xuan Dong, Li-hui Pan, Rui Pan, Wei Shan

Proceedings Volume 12587, Third International Seminar on Artificial Intelligence, Networking, and Information Technology (AINIT 2022); 125870K (2023) https://doi.org/10.1117/12.2667442
Event: Third International Seminar on Artificial Intelligence, Networking, and Information Technology (AINIT 2022), 2022, Shanghai, China

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.

Citation Download Citation

Xuan Dong, Li-hui Pan, Rui Pan, and Wei Shan "Application of the compressed sensing theory in the IR-UWB system channel estimation", Proc. SPIE 12587, Third International Seminar on Artificial Intelligence, Networking, and Information Technology (AINIT 2022), 125870K (22 February 2023); https://doi.org/10.1117/12.2667442

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KEYWORDS

Reconstruction algorithms

Compressed sensing

Telecommunications

Convolution

Wireless communications

Information theory

MATLAB

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