Rf-echo: A non-line-of-sight indoor localization system using a low-power active rf reflector asic tag

LX Chuo, Z Luo, D Sylvester, D Blaauw… - Proceedings of the 23rd …, 2017 - dl.acm.org
Proceedings of the 23rd Annual International Conference on Mobile Computing …, 2017dl.acm.org
Long-range low-power localization is a key technology that enables a host of new
applications of wireless sensor nodes. We present RF-Echo, a new low-power RF
localization solution that achieves decimeter accuracy in long range indoor non-line-of-sight
(NLOS) scenarios. RF-Echo introduces a custom-designed active RF reflector ASIC
(application specific integrated circuit) fabricated in a 180nm CMOS process which echoes a
frequency-shifted orthogonal frequency division multiplexing (OFDM) signal originally …
Long-range low-power localization is a key technology that enables a host of new applications of wireless sensor nodes. We present RF-Echo, a new low-power RF localization solution that achieves decimeter accuracy in long range indoor non-line-of-sight (NLOS) scenarios. RF-Echo introduces a custom-designed active RF reflector ASIC (application specific integrated circuit) fabricated in a 180nm CMOS process which echoes a frequency-shifted orthogonal frequency division multiplexing (OFDM) signal originally generated from an anchor. The proposed technique is based on time-of-flight (ToF) estimation in the frequency domain that effectively eliminates inter-carrier and inter-symbol interference in multipath-rich indoor NLOS channels. RF-Echo uses a relatively narrow bandwidth of 80 MHz which does not require an expensive very high sampling rate analog-to-digital converter (ADC). Unlike ultra-wideband (UWB) systems, the active reflection scheme is designed to operate at a relatively low carrier frequency that can penetrate building walls and other blocking objects for challenging NLOS scenarios. Since the bandwidth at lower frequencies (2.4 GHz and sub-1 GHz) is severely limited, we propose novel signal processing algorithms as well as machine learning techniques to significantly enhance the localization resolution given the bandwidth constraint of the proposed system. The newly fabricated tag IC consumes 62.8 mW active power. The software defined radio (SDR) based anchor prototype is rapidly deployable without the need for accurate synchronization among anchors and tags. Field trials conducted in a university building confirm up to 85 m operation with decimeter accuracy for robust 2D localization.
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