Secure performance of time reversal precoding technique in MISO OFDM systems

2014 ◽  
Author(s):  
Wei Cao ◽  
Xiaotian Li ◽  
Jing Lei ◽  
Wei Liu
Keyword(s):  
Time Reversal ◽  
Ofdm Systems

OFDM Demodulation Using Virtual Time Reversal Processing in Underwater Acoustic Communications

2015 ◽  
Vol 23 (04) ◽  
pp. 1540011 ◽  
Author(s):  
Yanling Yin ◽  
Songzuo Liu ◽  
Gang Qiao ◽  
Yue Yang ◽  
Yue Yang
Keyword(s):  
Time Reversal ◽  
Orthogonal Frequency Division Multiplexing ◽  
Estimation Methods ◽  
Delay Spread ◽  
Underwater Acoustic Communications ◽  
Ofdm Systems ◽  
Acoustic Communications ◽  
Underwater Acoustic ◽  
Single Input Single Output ◽  
Virtual Time

The extremely long underwater channel delay spread causes severe inter-symbol interference (ISI) for underwater acoustic communications. Passive time reversal processing (PTRP) can effectively reduce the channel time dispersion in a simple way via convolving the received packet with a time reversed probe signal (PS). However, the PS itself may introduce extra noise and interference (self-correlation of the PS). In this paper, we propose a virtual time reversal processing (VTRP) for single input single output (SISO) orthogonal frequency division multiplexing (OFDM) systems. It convolves the received packet with the reversed estimated channel, instead of the PS to reduce the interference. Two sparse channel estimation methods, matching pursuit (MP), and basis pursuit denoising (BPDN), are adopted to estimate the channel impulse response (CIR). We compare the performance of VTRP with the PTRP and without any time reversal processing through MATLAB simulations and the pool experiments. The results reveal that VTRP has outstanding performance over time-invariant channels.

Performance Analysis of Frequency Domain Precoding Time-Reversal MISO OFDM Systems

2020 ◽  
Vol 24 (1) ◽  
pp. 48-51 ◽  
Author(s):  
Trung-Hien Nguyen ◽  
Shaghayegh Monfared ◽  
Jean-Francois Determe ◽  
Jerome Louveaux ◽  
Philippe De Doncker ◽  
...  
Keyword(s):  
Performance Analysis ◽  
Frequency Domain ◽  
Time Reversal ◽  
Ofdm Systems

scholarly journals Time Synchronization and Ranging in OFDM Systems Using Time-Reversal

2013 ◽  
Vol 62 (12) ◽  
pp. 3276-3290 ◽  
Author(s):  
Traian E. Abrudan ◽  
Azadeh Haghparast ◽  
Visa Koivunen
Keyword(s):  
Time Reversal ◽  
Time Synchronization ◽  
Ofdm Systems

scholarly journals Performance of time reversal precoding technique for MISO-OFDM systems

2013 ◽  
Vol 2013 (1) ◽  
Author(s):  
Thierry Dubois ◽  
Maryline Hélard ◽  
Matthieu Crussière ◽  
Cécile Germond
Keyword(s):  
Time Reversal ◽  
Ofdm Systems

scholarly journals Efficient time reversal strategy for MISO-OFDM systems

2020 ◽  
Vol 20 (1) ◽  
pp. 239
Author(s):  
Issam Maaz ◽  
Samer Alabed
Keyword(s):  
Bit Error Rate ◽  
Error Rate ◽  
Time Reversal ◽  
Orthogonal Frequency Division Multiplexing ◽  
Signal To Noise Ratio ◽  
Low Complexity ◽  
Diversity Gain ◽  
Ofdm Systems ◽  
Single Output ◽  
Multiple Input

In this work, we are interested in implementing, developing, and evaluating a time reversal strategy for a multiple-input single-output orthogonal frequency division multiplexing system. This strategy enjoys a good trade-off between the computational complexity and performance in terms of bit error rate where it offers a good coding gain by forming a beam in the direction of the destination at a price of channel state information available at the transmitter. In time reversal technique, a higher coding and diversity gain can be achieved by increasing the number of transmitting antennas, which focuses the formed beam to the direction of the destination antenna. By achieving this, the received signal-to-noise ratio can be maximized which makes time reversal a good candidate for multiple-input single-output systems while keeping a low complexity. The performance of the proposed system is evaluated in terms of bit error rate where our simulations show that the proposed strategy enjoys the full diversity gain, which is equal to the number of transmitting antennas. Moreover, a robust channel estimation technique is proposed to improve the overall system in terms of bit error rate.

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