TY - GEN
T1 - Low-sampling-rate M-ary multiple access UWB communications in multipath channels
AU - Alkhodary, Mohammad T.
AU - Ballal, Tarig
AU - Al-Naffouri, Tareq Y.
AU - Muqaibel, Ali H.
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): EE002355
Acknowledgements: The authors would like to acknowledge the support provided by King Fahd University of Petroleum and Minerals
(KFUPM) and King Abdullah University of Science and
Technology (KAUST) for funding this work through the
research institute project number EE002355.
PY - 2015/12/28
Y1 - 2015/12/28
N2 - The desirable characteristics of ultra-wideband (UWB) technology are challenged by formidable sampling frequency, performance degradation in the presence of multi-user interference, and complexity of the receiver due to the channel estimation process. In this paper, a low-rate-sampling technique is used to implement M-ary multiple access UWB communications, in both the detection and channel estimation stages. A novel approach is used for multiple-access-interference (MAI) cancelation for the purpose of channel estimation. Results show reasonable performance of the proposed receiver for different number of users operating many times below Nyquist rate.
AB - The desirable characteristics of ultra-wideband (UWB) technology are challenged by formidable sampling frequency, performance degradation in the presence of multi-user interference, and complexity of the receiver due to the channel estimation process. In this paper, a low-rate-sampling technique is used to implement M-ary multiple access UWB communications, in both the detection and channel estimation stages. A novel approach is used for multiple-access-interference (MAI) cancelation for the purpose of channel estimation. Results show reasonable performance of the proposed receiver for different number of users operating many times below Nyquist rate.
UR - http://hdl.handle.net/10754/609178
UR - http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7362408
UR - http://www.scopus.com/inward/record.url?scp=84963968456&partnerID=8YFLogxK
U2 - 10.1109/EUSIPCO.2015.7362408
DO - 10.1109/EUSIPCO.2015.7362408
M3 - Conference contribution
SN - 9780992862633
SP - 374
EP - 378
BT - 2015 23rd European Signal Processing Conference (EUSIPCO)
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -