Experimental Results on Multiple-Input Single-Output (MISO) Time Reversal for UWB Systems in an Office Environment

MILCOM 2006 ◽  
2006 ◽  
Author(s):  
Chenming Zhou ◽  
Nan Guo ◽  
Robert Qiu
Keyword(s):  
Time Reversal ◽  
Experimental Results ◽  
Office Environment ◽  
Single Output ◽  
Multiple Input

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.

Source Identification Using Multi-Input/Single-Output Modeling and Causality Checking of Correlated Inputs

1994 ◽  
Vol 116 (2) ◽  
pp. 232-236 ◽  
Author(s):  
Jung-Seok Park ◽  
Kwang-Joon Kim
Keyword(s):  
Source Identification ◽  
Coherence Function ◽  
Experimental Results ◽  
Partial Coherence ◽  
Impulse Response Functions ◽  
Single Output ◽  
Multiple Input ◽  
Time Region ◽  
Correlated Signals

This paper presents experimental results of a case study of source identification using multiple-input/single-output modeling in a case where the inputs are coherent to some extent and, hence, the priority among the correlated inputs must be decided before applying the partial coherence function approach. The basic idea is that either one of any two correlated signals causes the other and that this causality can be checked by observing the impulse response functions estimated in the negative time region, interpretations of which are provided for a system transfer function given in the fractional form of polynomials and for a case of wave propagation. The experimental results from a three inputs/single output acoustical system shows that the method works well and is promising in the source identification problems with coherent inputs.

Estimation Design Using Youla Parametrization With Automotive Applications

2018 ◽  
Vol 140 (8) ◽  
Author(s):  
Francis Assadian ◽  
Alex K. Beckerman ◽  
Jose Velazquez Alcantar
Keyword(s):  
Kalman Filtering ◽  
Feedback Stabilization ◽  
Estimation Technique ◽  
Single Input Single Output ◽  
Normal Forces ◽  
Single Output ◽  
Multiple Input ◽  
Single Input ◽  
Established Technique ◽  
Better Than

Youla parametrization is a well-established technique in deriving single-input single-output (SISO) and, to a lesser extent, multiple-input multiple-ouput (MIMO) controllers (Youla, D., Bongiorno, J. J., Jr., and Lu, C., 1974, “Singleloop Feedback-Stabilization of Linear Multivariable Dynamical Plants,” Automatica, 10(2), pp. 159–173). However, the utility of this methodology in estimation design, specifically in the framework of controller output observer (COO) (Ozkan, B., Margolis, D., and Pengov, M., 2008, “The Controller Output Observer: Estimation of Vehicle Tire Cornering and Normal Forces,” ASME J. Dyn. Syst., Meas., Control, 130(6), p. 061002), is not established. The fundamental question to be answered is as follows: is it possible to design a deterministic estimation technique using Youla paramertization with the same robust performance, or better, than well-established stochastic estimation techniques such as Kalman filtering? To prove this point, at this stage, a comparative analysis between Youla parametrization in estimation and Kalman filtering is performed through simulations only. In this paper, we provide an overview of Youla parametrization for both control and estimation design. We develop a deterministic SISO and MIMO Youla estimation technique in the framework of COO, and we investigate the utility of this method for two applications in the automotive domain.

Robust secrecy rate optimisations for multiuser multiple-input-single-output channel with device-to-device communications

2015 ◽  
Vol 9 (3) ◽  
pp. 396-403 ◽  
Author(s):  
Zheng Chu ◽  
Kanapathippillai Cumanan ◽  
Zhiguo Ding ◽  
Mai Xu
Keyword(s):  
Output Channel ◽  
Secrecy Rate ◽  
Single Output ◽  
Multiple Input ◽  
Device To Device
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