Channel Estimation for Intelligent Reflecting Surface Assisted Ambient Backscatter Communication Systems

XU Yongjun; QIU Youjing; HANG Haibo

doi:10.11999/JEIT240395

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XU Yongjun, QIU Youjing, HANG Haibo. Channel Estimation for Intelligent Reflecting Surface Assisted Ambient Backscatter Communication Systems[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT240395

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XU Yongjun, QIU Youjing, HANG Haibo. Channel Estimation for Intelligent Reflecting Surface Assisted Ambient Backscatter Communication Systems[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT240395

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Channel Estimation for Intelligent Reflecting Surface Assisted Ambient Backscatter Communication Systems

doi: 10.11999/JEIT240395

School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Funds: The National Natural Science Foundation of China (62271094, U23A20279), Key Fund of Natural Science Foundation of Chongqing (CSTB2022NSCQ-LZX0009, CSTB2023NSCQ-LZX0079), The Scientific and Technological Research Program of Chongqing Municipal Education Commission (KJZD-K202200601)

Available Online: 2024-12-12

Abstract

Abstract

Ambient Backscatter Communication (AmBC) is a new low-power communication technology, which can use Radio Frequency (RF) signal sources in the surrounding environment to realize passive information transmission, but because of the problems such as double fading and obstacles, the signal strength of the reflection link is weak. Therefore, the Intelligent Reflecting Surface (IRS) is introduced into the AmBC system to enhance the reflection link gain. However, both IRS and tag are passive devices, making channel estimation extremely challenging. To solve this problem, an IRS-assisted channel estimation scheme for AmBC system is proposed. First, the channel is decomposed into multiple subchannels, where each subchannel of the reflection link corresponds to an IRS reflection unit. Then, the joint design of IRS reflection patterns and channel estimation is explored by using the least squares method as an estimation criterion with the objective of minimizing the Mean Square Error (MSE). Simulation results show that the channel estimation scheme has good estimation performance.
- Ambient Backscatter Communication (AmBC),
- Intelligent Reflecting Surface (IRS),
- Channel estimation

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References(26)

References

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