On the Performance of the Time Reversal SM-MIMO-UWB System on Correlated Channels

Nguyen, Hieu Duy; Nguyen, Van Duc; Nguyen, Trung Kiên; Maichalernnukul, Kiattisak; Zheng, Feng; Kaiser, Thomas

doi:10.1155/2012/929018

Cited by 6 publications

(6 citation statements)

References 27 publications

(36 reference statements)

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“…The investigators in [11] proposed a conventional Minimum Mean Square Error (MMSE) equalizer to minimize multi-stream interference. The investigation in [13] focused on the spatial correlation among the transmit and receive antennas with TR pre-filter and Zero Forcing (ZF) pre-equalizer utilized for interference mitigation. An ordered successive interference cancellation scheme is applied in [14] for detection in ultra-wideband MIMO communication systems with RAKE combining.…”

Section: A Uwb and Mimomentioning

confidence: 99%

Deep Learning-Aided TR-UWB MIMO System

Zia

Wang

Huang

et al. 2022

IEEE Trans. Commun.

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This paper presents a novel deep learning-aided scheme dubbed P Rρ-net for improving the bit error rate (BER) of the Time Reversal (TR) Ultra-Wideband (UWB) Multiple Input Multiple Output (MIMO) system with imperfect Channel State Information (CSI). The designed system employs Frequency Division Duplexing (FDD) with explicit feedback in a scenario where the CSI is subject to estimation and quantization errors. Imperfect CSI causes a drastic increase in BER of the FDDbased TR-UWB MIMO system, and we tackle this problem by proposing a novel neural network-aided design for the conventional precoder at the transmitter and equalizer at the receiver. A closed-form expression for the initial estimation of the channel correlation is derived by utilizing transmitted data in time-varying channel conditions modeled as a Markov process. Subsequently, a neural network-aided design is proposed to improve the initial estimate of channel correlation. An adaptive pilot transmission strategy for a more efficient data transmission is proposed that uses channel correlation information. The theoretical analysis of the model under the Gaussian assumptions is presented, and the results agree with the Monte-Carlo simulations. The simulation results indicate high performance gains when the suggested neural networks are used to combat the effect of channel imperfections.

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Section: A Uwb and Mimomentioning

confidence: 99%

Deep Learning-Aided TR-UWB MIMO System

Zia

Wang

Huang

et al. 2022

IEEE Trans. Commun.

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“…TR also has shown its potential in dealing with the ISI problems in UWB. In a TR system, the time-reversed channel response (CIR) is implemented as a filter at the transmitter side [15].…”

Section: Virtual Mimo-uwb-time Reversal Technique Systemmentioning

confidence: 99%

“…It is shown the virtual MIMO outperforms the true MIMO system in terms of the BER performance. The channel impulse response (CIR) between the transmit antenna j and the receive antenna i is, [15],…”

Section: Virtual Mimo-uwb-time Reversal Technique Systemmentioning

confidence: 99%

Design and Analysis of Mimo System for UWB Communication

Mohanty¹,

Bhol²,

Mishra³

et al. 2014

IJWMN

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Multiple transmit and receive antennas are used MIMO system. The system creates parallel MIMO subchannels to transmit independent streams of data under the appropriate channel conditions. Similarly, Ultrawideband (UWB) communication has attracted great interest for various applications in recent days. Spatially multiplexed (SM) multiple-input multiple-output (MIMO) systems gains the spectral efficiency as well as high data rates without consuming additional power, bandwidth or time slots. In this paper, we extend the concept of MIMO to UWB systems. The correlated channel for such purpose is considered and the performance has been analyzed for spatial multiplexing SM-UWB-MIMO system which is required for estimation. The system performance substantially degrades in the presence of high values of spatial correlation. To avoid the degradation of such system, it has been designed for virtual UWB-MIMO Time Reversal (TR) system, so that it is not affected by the transmit correlation. Another novel method to reduce the effect of correlation has been chosen by taking the Eigen value of the channel matrix for the computation of the system performance. The result shows its performance.

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“…This MIMO channel model can be used for studying the relationship between the correlation and eigenvalues for various propagation environments. These differences are also dealt with in the work by Nguyen et al [9], wherein a specific channel model is derived using the promising time-reversal technique. By using Time-Reversal (TR), several data streams can be simultaneously transmitted by using only one antenna while outperforming a true MIMO-UWB (Ultra WideBand) system with multiple transmit antennas.…”

Section: Summary Of Papers Accepted For Publicationmentioning

confidence: 99%