FCC compliant 3.1-10.6 GHz UWB Pulse Radar System using Correlation Detection

Dederer, J.; Schleicher, Bernd; Santos, F. De Andrade Tabarani; Trasser, Andreas; Schumacher, Hermann

doi:10.1109/mwsym.2007.380530

Cited by 38 publications

(27 citation statements)

References 10 publications

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“…The received power Figure 1. Receiver architecture based on the receivers in [7,10,11]. P r at a distance d is [12]:…”

Section: Design Parametersmentioning

confidence: 99%

“…1, according to our simulations, the required sampling time is ∆t = 10 ps. Thus, according to [11], for a phase-offset of receiver clock ∆Φ Rx = 360 • , ∆t = 1 360 * ∆Φ Rx * f PRF = 10 ps for a receiver clock frequency f PRF = 300 MHz. In [16] it was shown that the number of bits n = 4 bits is sufficient for reliable detection of UWB signals ‡ .…”

Section: Power Consumptionmentioning

confidence: 99%

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Key Design Parameters and Sensor-Fusion for Low-Power Wearable Uwb-Based Motion Tracking and Gait Analysis Systems

El-Nasr¹,

Shaban

Buehrer³

2012

PIER Letters

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Abstract-Recently, we proposed a wireless ambulatory gait analysis system that provides a high ranging accuracy using ultrawideband (UWB) transceivers. In this paper, we further investigate the performance of our proposed system including ranging using suboptimal templates, power consumption, and sensor-fusion. We show that the proposed system is capable of providing a 1.1 mm ranging accuracy (11.7 mm for current systems) at a signal-to-noise-ratio (SNR) of 20 dB using suboptimal-based receivers in industry accepted body-area-network UWB channels. For the angular-displacement, our system provides an accuracy that is less than 1 • for the kneeflexion angle. This accuracy is superior to the accuracy reported in the literature for current technologies (less than 4 • ). Finally, we propose the integration of UWB sensors with force sensors. The system performance and design parameters are investigated using simulations and actual measurements. Ultimately, the proposed system is suitable for taking accurate measurements, and for tele-rehabilitation.

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“…The received power Figure 1. Receiver architecture based on the receivers in [7,10,11]. P r at a distance d is [12]:…”

Section: Design Parametersmentioning

confidence: 99%

Section: Power Consumptionmentioning

confidence: 99%

Key Design Parameters and Sensor-Fusion for Low-Power Wearable Uwb-Based Motion Tracking and Gait Analysis Systems

El-Nasr¹,

Shaban

Buehrer³

2012

PIER Letters

View full text Add to dashboard Cite

show abstract

“…Considering power consumption constraints, we assume the use of an analog sliding-correlator as proposed in [13]. The sampling interval in analog correlation is represented as time-shift.…”

Section: Proposed Rrcr Ranging Techniquementioning

confidence: 99%

“…The sampling interval in analog correlation is represented as time-shift. In our system, we assume a sampling interval (time-shift) = 10 ps, similar to [13]. Sliding-correlator determines the TOA of the signal of the strongest path [3]: where, τ peak is the TOA of the strongest path.…”

Section: Proposed Rrcr Ranging Techniquementioning

confidence: 99%

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Reference Range Correlation (Rrcr) Ranging and Performance Bounds for on-Body Uwb-Based Body Sensor Networks

Shaban¹,

El-Nasr²,

Buehrer³

2011

PIER B

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Abstract-In this paper, we propose a reference range correlationbased (RRcR) ranging technique suitable for low-power on-body wireless body sensor networks (WBSNs) via ultra wideband (UWB) radios. The proposed technique is based on the presence of reference nodes, and is assumed to have line-of-sight (LOS) links. We show that the performance of the proposed technique outperforms matchedfiltering-based time-of-arrival (MF-TOA) estimators with no a priori and with perfect channel knowledge. We further show that increasing the number of reference node up to twenty provides significant enhancement in the performance traded for higher overall power consumption. Then, we study the effect of timing-misalignment on the Ziv-Zakai lower bound (ZZLB), and provide numerical results. The presented results are based on simulations in the IEEE 802.15.6a onbody-to-on-body channel (CM3) in the UWB band as well as actual measurements.

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A circuit model of an ultra wideband impulse radar system for breath‐activity monitoring

Pisa

Bernardi

Cavagnaro

et al. 2011

Int J Numerical Modelling

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The aim of this work is to present a circuit model to analyze and design ultra wideband (UWB) radars for the remote monitoring of breath activity. The model includes the impulse signal source, the transceiver antenna, the transmission medium, and the human thorax. First of all, the proposed model has been validated by comparing its responses with those achieved both numerically, with a commercial electromagnetic modeling software, and experimentally, by means of a setup based on an indirect time domain reflectometry system. Then, the model has been used for analyzing the feasibility of a UWB radar operating in the 36-GHz range with an effective isotropic radiated power lower than - 41.3dBm/MHz, i.e. within the limits issued by the United States Federal Communications Commission for unlicensed UWB imaging systems. The model outlined the possibility of the considered UWB radar of monitoring the breath activity of a subject up to distances of about 10m in open air. Copyright (C) 2011 John Wiley & Sons, Ltd

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FCC compliant 3.1-10.6 GHz UWB Pulse Radar System using Correlation Detection

Cited by 38 publications

References 10 publications

Key Design Parameters and Sensor-Fusion for Low-Power Wearable Uwb-Based Motion Tracking and Gait Analysis Systems

Key Design Parameters and Sensor-Fusion for Low-Power Wearable Uwb-Based Motion Tracking and Gait Analysis Systems

Reference Range Correlation (Rrcr) Ranging and Performance Bounds for on-Body Uwb-Based Body Sensor Networks

A circuit model of an ultra wideband impulse radar system for breath‐activity monitoring

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