MIMO UWB-IR Noncoherent Transceiver with Poisson Wireless Models

Xu Huang; Dharmendra Sharma

doi:10.1109/ISWPC.2009.4800593

MIMO UWB-IR Noncoherent Transceiver with Poisson Wireless Models

Xu Huang, Dharmendra Sharma

Research output: A Conference proceeding or a Chapter in Book › Conference contribution

2 Citations (Scopus)

4 Downloads (Pure)

Abstract

Multi-antenna-based multi-input multi-output (MIMO) communicationsbecomes the next revolution in wireless data communications. MIMO has gone through the adoption curve for commercial wireless systems to the point that today, all high throughput commercial standards, i.e. WiMax, Wi-Fi, cellular, etc., have adopted MIMO as part of the optional. This paper is to present our investigations of the behaviors of the MIMO ultra-wide-band-impulse radio (UWB-IR) systems, which will contribute to optimal designs for the lo.w-power high-speed data communication over unlicensed bandwidth spanning several GHz, such as IEEE 802.15 families. Our investigations are based on that without requiring any channel estimation procedure we develop and analyze three no coherent transceiver channels based on Poisson model. The simulations for our investigations show that the Poisson distribution of the path arriving will affect the signal-noise ratio (SNR) and that for the Nakagami distributed multipath fading channel the "m" factor, together with receiver number will impact on the SNR on the MIMO UWB-IR systems.

Original language	English
Title of host publication	IEEE International Symposium on Wireless and Pervasive Computing
Editors	Jun Shen
Place of Publication	United States
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	11-16
Number of pages	6
Volume	1
ISBN (Print)	9781424429660
DOIs	https://doi.org/10.1109/ISWPC.2009.4800593
Publication status	Published - 2009
Event	4th IEEE International Symposium on Wireless and Pervasive Computing - Melbourne, Australia Duration: 11 Feb 2009 → 13 Feb 2009

Conference

Conference	4th IEEE International Symposium on Wireless and Pervasive Computing
Country	Australia
City	Melbourne
Period	11/02/09 → 13/02/09

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Cite this

Huang, X., & Sharma, D. (2009). MIMO UWB-IR Noncoherent Transceiver with Poisson Wireless Models. In J. Shen (Ed.), IEEE International Symposium on Wireless and Pervasive Computing (Vol. 1, pp. 11-16). United States: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ISWPC.2009.4800593

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Huang, X & Sharma, D 2009, MIMO UWB-IR Noncoherent Transceiver with Poisson Wireless Models. in J Shen (ed.), IEEE International Symposium on Wireless and Pervasive Computing. vol. 1, IEEE, Institute of Electrical and Electronics Engineers, United States, pp. 11-16, 4th IEEE International Symposium on Wireless and Pervasive Computing, Melbourne, Australia, 11/02/09. https://doi.org/10.1109/ISWPC.2009.4800593

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AB - Multi-antenna-based multi-input multi-output (MIMO) communicationsbecomes the next revolution in wireless data communications. MIMO has gone through the adoption curve for commercial wireless systems to the point that today, all high throughput commercial standards, i.e. WiMax, Wi-Fi, cellular, etc., have adopted MIMO as part of the optional. This paper is to present our investigations of the behaviors of the MIMO ultra-wide-band-impulse radio (UWB-IR) systems, which will contribute to optimal designs for the lo.w-power high-speed data communication over unlicensed bandwidth spanning several GHz, such as IEEE 802.15 families. Our investigations are based on that without requiring any channel estimation procedure we develop and analyze three no coherent transceiver channels based on Poisson model. The simulations for our investigations show that the Poisson distribution of the path arriving will affect the signal-noise ratio (SNR) and that for the Nakagami distributed multipath fading channel the "m" factor, together with receiver number will impact on the SNR on the MIMO UWB-IR systems.

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DO - 10.1109/ISWPC.2009.4800593

M3 - Conference contribution

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Access to Document

10.1109/ISWPC.2009.4800593

PaperFinal published version, 820 KB