Abstract
Millimeter wave (mm-Wave) is an emerging paradigm towards 5G technology that can support high data rate. The foreseen potential of mm-Wave is limited by huge path loss incurred due to the high frequency operation which can be alleviated by high emission power at the transmitter. This in concurrence with the enormous bandwidth of mmWave and high frequency design limitations of the integrated circuits enforce the power amplifier (PA) into non-linear region. Further, the non-linear distortion in collusion with frequency selective channel and carrier frequency offset (CFO) degrade the signal detection performance. To solve this problem, we propose a semi-blind joint estimation of CFO and frequency selective channel gains followed by data detection in the presence of PA non-linearity. The presence of non-linearity results in the posterior probability distribution of complex data symbol to be non-Gaussian and hence, analytically intractable. Therefore, sequential importance resampling based particle filter (PF) is suggested for approximating the intractable posterior distribution of interest by the weighted random probability samples (particles) to detect the data symbols. The detected symbols are then used to jointly update the channel gains and CFO using a novel sequential maximum likelihood (ML) estimation. Extensive simulation results validate the proposed algorithm. This novel scheme enhances the non-linear signal detection performance in presence of CFO and frequency selective channel at the receiver.
Original language | English |
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Title of host publication | 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall) - Proceedings |
Editors | James Irvine |
Place of Publication | Piscataway NJ USA |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 1764-1768 |
Number of pages | 5 |
ISBN (Electronic) | 9781538663585, 9781538663578 |
ISBN (Print) | 9781538663592 |
DOIs | |
Publication status | Published - 2018 |
Externally published | Yes |
Event | IEEE Vehicular Technology Conference 2018 (Fall) - Chicago, United States of America Duration: 27 Aug 2018 → 30 Aug 2018 Conference number: 88th https://ieeexplore.ieee.org/xpl/conhome/8672788/proceeding (Proceedings) |
Publication series
Name | IEEE Vehicular Technology Conference |
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Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Volume | 2018-August |
ISSN (Print) | 1550-2252 |
ISSN (Electronic) | 2577-2465 |
Conference
Conference | IEEE Vehicular Technology Conference 2018 (Fall) |
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Abbreviated title | VTC Fall 2018 |
Country/Territory | United States of America |
City | Chicago |
Period | 27/08/18 → 30/08/18 |
Internet address |