Signal Detection Performance of Overlapped FFT Scheme with Additional Frames Consisting of Non-continuous Samples in Indoor Environment
Journal article
Uchida, S., Sato, A., Inamori, M., Sanada, Y. and Ghavami, M. (2014). Signal Detection Performance of Overlapped FFT Scheme with Additional Frames Consisting of Non-continuous Samples in Indoor Environment. Wireless Personal Communications. 79 (2), pp. 987 - 1002. https://doi.org/10.1007/s11277-014-1899-4
Authors | Uchida, S., Sato, A., Inamori, M., Sanada, Y. and Ghavami, M. |
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Abstract | Overlapped FFT has been proposed as a signal detection scheme in dynamic spectrum access to reduce the variance of the noise and improve the detection probability. However, the improvement of the detection probability in the conventional overlapped FFT is bounded with the upper limit of the overlap ratio. This paper proposes a new overlapped FFT scheme using additional frames. In the proposed scheme, in addition to the original FFT frames, new frames that consist of multiple subframes with non-continuous samples are constructed and included. It can realize the increase of the number of the FFT frames and the improvement of the detection probability compared with the conventional scheme. Numerical results through computer simulation show that the proposed scheme improves the detection probability by up to 0.07. On indoor channel models the proposed scheme also improves the detection probability. In addition, it is clarified that as the delay spread increases the detection probability reduces due to the correlation between the frames. |
Year | 2014 |
Journal | Wireless Personal Communications |
Journal citation | 79 (2), pp. 987 - 1002 |
Publisher | Springer |
ISSN | 0929-6212 |
Digital Object Identifier (DOI) | https://doi.org/10.1007/s11277-014-1899-4 |
Web address (URL) | http://www.scopus.com/inward/record.url?eid=2-s2.0-84910126818&partnerID=MN8TOARS |
Publication dates | |
01 Nov 2014 | |
2014 | |
Publication process dates | |
Deposited | 23 Jan 2017 |
Accepted | 01 Jul 2014 |
Accepted author manuscript | License File Access Level Open |
ISBN | 09296212 |
https://openresearch.lsbu.ac.uk/item/8777q
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