Prediction and Modeling for the Time-Evolving Ultra-Wideband Channel

Abstract-This paper presents an algorithm for human presence detection in urban environments using an ultra-wide-band (UWB) impulse-based mono-static radar. A specular multi-path model (SMPM) is used to characterize human body scattered UWB waveforms. The SMPM parameters are used within a classical likelihood ratio detector framework to detect the presence of humans via gait, with the aid of a multi-target tracking technique (MTT). Experimental results on a simple human gait detection problem in an outdoor urban environment are presented to illustrate and validate the approach.

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“…In the domain of UWB radio communication channel modeling, Tsao, et al, proposed the time-evolving UWB multipath channel model [11]:…”

Section: Specular Multipath Model For Uwb Signalmentioning

confidence: 99%

An algorithm for UWB radar-based human detection

Chang

Mitsumoto

Burdick

2009

2009 IEEE Radar Conference

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“…This can help the readers understand the conditions under which our measurements are collected so that they can reproduce the results. Traditionally, there has been considerable interest in measurement and characterization of the received communication signal strength in the context of cellular systems [18][19][20][21][22]. Automating the measurement process, however, has been difficult in the past due to the lack of an automated mobile system.…”

Section: An Experimental Robotic Platform For Channel Measurement Colmentioning

confidence: 99%

A Comprehensive Overview and Characterization of Wireless Channels for Networked Robotic and Control Systems

Gonzalez-Ruiz

Ghaffarkhah

Mostofi

2011

Journal of Robotics

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The goal of this overview paper is to serve as a reference for researchers that are interested in the realistic modeling of wireless channels for the purpose of analysis and optimization of networked robotic systems. By utilizing the knowledge available in the wireless communication literature, we first summarize a probabilistic framework for the characterization of the underlying multiscale dynamics of a wireless link. We furthermore confirm this framework with our robotic testbed, by making an extensive number of channel measurements. To show the usefulness of this framework for networked robotic applications, we then discuss a few recent examples where this probabilistic channel characterization has been utilized for the theoretical analysis and communication-aware design of networked robotic systems. Finally, we show how to develop a realistic yet simple channel simulator, which can be used to verify cooperative robotic operations in the presence of realistic communication links.

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“…Second, the coherence bandwidth of the UWB system typically spans several adjacent tones. In ( [3], Table I [9][10][11]2009) computed for the different channel models (CM1-CM4) proposed by the IEEE 802.15.3a working group [4]. Using a normalized cross-correlation of the channel coefficients across adjacent tones as a statistical parameter to determine coherence bandwidth, it was determined that the coherence bandwidth is 53.6, 28.9, 20.6 and 12.4 MHz for channel models CM1, CM2, CM3 and CM4 respectively.…”

Section: Uwb Channel Characteristicsmentioning

confidence: 99%

“…In reality, the indoor UWB channel varies slowly and smoothly from one coherence interval to the next. There are occasional sharp transitions due to sudden changes in the surrounding environment (e.g., when a person walks into the room [11,12]), but these changes occur infrequently, and the intermediate channel transitions between any two such sharp transitions are smooth and steady. This quasi-static nature of the UWB channel can be exploited to compress the feedback information.…”

Section: Compression Schemes Exploiting Temporal Correlationmentioning

confidence: 99%

“…It is worthwhile to indicate that many of these schemes can be combined (e.g., fixed spectral binning and differential state update) to yield very high degrees of feedback compression. At present, no widely acknowledged statistical model for the time-varying UWB channel exist in the literature, only a few models have been recently proposed [11,12]. This has restricted our numerical analysis of combined spectral and temporal compression schemes, which is a subject of our future research.…”

Section: Compression Schemes Exploiting Temporal Correlationmentioning

confidence: 99%

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Compression schemes for the feedback channel in multiband-OFDM UWB systems

Chakraborty

Das

Dural

et al. 2009

2009 IEEE International Conference on Ultra-Wideband

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In time-varying channels, channel state information (CSI) is often provided via a feedback channel to facilitate dynamic allocation of resources like transmit power and data rates. In OFDM-based ultra wideband (UWB) channels, the signaling overhead for this CSI feedback can be extremely large. In this paper, we propose several compression schemes for the feedback channel that exploit the temporal and spatial correlation properties of the multiband-OFDM UWB channel, viz., fixed and variable spectral binning techniques, hierarchical binary tree-based spectral compression schemes, and Markov state-based differential temporal compression schemes.

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Prediction and Modeling for the Time-Evolving Ultra-Wideband Channel

Cited by 24 publications

References 10 publications

An algorithm for UWB radar-based human detection

An algorithm for UWB radar-based human detection

A Comprehensive Overview and Characterization of Wireless Channels for Networked Robotic and Control Systems

Compression schemes for the feedback channel in multiband-OFDM UWB systems

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