Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/5826
Title: IR-UWB sensor network using massive MIMO decision fusion: Design and performance analysis
Authors: Bhatia, Vimal
Keywords: Antenna arrays;Broadband networks;Communication channels (information theory);Receiving antennas;Signal processing;Wireless sensor networks;Energy detection;Implementation complexity;Impulse radio ultra wideband (IR-UWB);Massive MIMO;Multiple access channels;Probability of detection;Processing gain;Wireless sensor network (WSNs);Ultra-wideband (UWB)
Issue Date: 2018
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Sharma, S., Gupta, A., & Bhatia, V. (2018). IR-UWB sensor network using massive MIMO decision fusion: Design and performance analysis. IEEE Sensors Journal, 18(15), 6290-6302. doi:10.1109/JSEN.2018.2844832
Abstract: This paper proposes and analyzes impulse radio ultra-wideband (IR-UWB) system for wireless sensor networks (WSNs) using massive antenna arrays (MAAs) at fusion center (FC) for distributed detection. The coherent- and energy-based fusion rules are analyzed for the proposed WSN over multiple access channels. The tradeoff between the performance and the implementation complexity of the coherent- and energy-based fusion is studied. Furthermore, we show that MAAs at FC with various levels of channel knowledge can enhance the performance of energy-based detector in a UWB sensor network with simple system implementation and signal processing. Performance of the proposed UWB sensor network with reference to probability of detection, false alarm, and error are analyzed over the standard IEEE 802.15.4a multipath channels and results are validated using simulations. We have also analyzed the impact of various design parameters, such as the number of sensors, receiver antennas, sensor quality, and integration interval, on the system performance. © 2001-2012 IEEE.
URI: https://doi.org/10.1109/JSEN.2018.2844832
https://dspace.iiti.ac.in/handle/123456789/5826
ISSN: 1530-437X
Type of Material: Journal Article
Appears in Collections:Department of Electrical Engineering

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