Application of time-reversal with MMSE equalizer to UWB communications

Strohmer, Thomas; Emami, M.; Hansen, Jan; Papanicolaou, George; Paulraj, A.

doi:10.1109/glocom.2004.1378927

Cited by 183 publications

(122 citation statements)

References 9 publications

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“…In this paper, we consider a cooperative transmission strategy based on a technique called time-reversal communication (TRC), which can be regarded as generalization of beamforming. Various signal processing techniques based on time-reversal (TR) processing have been proposed and studied previously for many applications, including acoustical imaging [11], electromagnetic imaging [12], underwater acoustic communication [13], and wireless communication channels [14][15][16]. In two recent publications [17,18], the application of TRC to cooperative communication in wireless networks has been introduced and studied by several of the authors.…”

Section: Introductionmentioning

confidence: 99%

Performance of Cooperative Time-Reversal Communication in a Mobile Wireless Environment

Barton

Huang

et al. 2007

International Journal of Distributed Sensor Networks

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In this paper, we study the performance of a technique called time reversal for cooperative communication in a mobile wireless environment. To put the work in context, a brief introduction to timereversal communication (TRC) in general and cooperative TRC in particular is presented. Performance of a proposed cooperative TRC scheme is evaluated numerically via a simulated indoor environment containing multiple wireless communication nodes. We characterize the behavior of the peak power received at a target node as a function of the number of cooperating transmitting nodes and as a function of the distance of the target from its predicted location within the simulated environment.The results demonstrate that the performance of cooperative TRC is less sensitive to uncertainty in the target position than might be expected from standard assumptions regarding the relationship between signal wavelength and spatial channel correlation in a complex multipath environment.

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Section: Introductionmentioning

confidence: 99%

Performance of Cooperative Time-Reversal Communication in a Mobile Wireless Environment

Barton

Huang

et al. 2007

International Journal of Distributed Sensor Networks

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“…Adaptive illumination of the environment can exploit known deterministic multipath components (MPCs) through a TX-side environment model that is learned at runtime. Time reversal (TR) processing [5], [6] is proposed, which is expected to be beneficial to overcome the degenerate pinhole channel of a backscatter radio system [7]. At the receiver side, deterministic MPCs can aid the target localization problem and overcome non-line-of-sight (NLOS) situations [8].…”

Section: Introductionmentioning

confidence: 99%

Cognitive radar for the localization of RFID transponders in dense multipath environments

Witrisal

Leitinger

Meißner

et al. 2013

2013 IEEE Radar Conference (RadarCon13)

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Abstract-High-accuracy localization remains a much desired but elusive feature for passive radio transponders as used in radio-frequency identification (RFID). We believe that the principle of cognitive radar can overcome the fundamental physical limitations hindering its implementation. We propose to jointly employ a narrowband radio to interrogate the transponders and an adaptive (ultra) wideband backscatter radio for the target tracking and for actuating, sensing, and learning the radio environment. This paper explores system model and key processing steps of such a cognitive secondary radar. At its core is a perception-action cycle, which consists of transmitter and receiver-side environment models for representing radio channel conditions and Bayesian trackers for the target states. Multipath is exploited to improve the robustness and to make optimum use of the radar's sensing capabilities. Feedback information is derived from the Cramér-Rao lower bound on the position error. Initial results are presented as a basic proof of principle.Index Terms-Ultra-wideband, Cramér-Rao lower bound, localization, multipath-assisted indoor positioning, channel modeling

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“…[6][7][8][9] show the applications of TR-UWB. [10] proposed an MMSE-TR equalizer in UWB communications and investigated the benefit of temporal focusing. The authors in [11,12] evaluated the applicability of multi-user TR-UWB communication in improving the multi-user system capacity and communication range.…”

Section: Introductionmentioning

confidence: 99%

Performance of Impulse Radio Uwb Communications Based on Time Reversal Technique

Liu¹,

Wang²,

Xiao³

et al. 2008

PIER

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Abstract-In this paper, the bit-error-rates performance of impulse radio ultra-wideband (IR-UWB) wireless communication system based on time reversal technique is investigated in both single-input singleoutput and multiple-input single-output situations.Simulations indicate that the good result is obtained as we expect it and IR-UWB based on time reversal technique is very promising for high bit rates wireless communication applications.

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Application of time-reversal with MMSE equalizer to UWB communications

Cited by 183 publications

References 9 publications

Performance of Cooperative Time-Reversal Communication in a Mobile Wireless Environment

Performance of Cooperative Time-Reversal Communication in a Mobile Wireless Environment

Cognitive radar for the localization of RFID transponders in dense multipath environments

Performance of Impulse Radio Uwb Communications Based on Time Reversal Technique

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