Blind Identification of Space-time Block Coding (STBC) Using Single Receive Antenna over Frequency-selective Fading Channels
- DOI
- 10.2991/icwcsn-16.2017.2How to use a DOI?
- Keywords
- blind identification of STBC; frequency-selective fading channels; Kolmogorov -Smirnov (K-S) test; single receive antenna
- Abstract
Blind recognition of STBC is an important issue in the non-cooperative context. However, the research on blind recognition over frequency-selective fading channels has been rarely reported. This paper introduces a novel and efficient algorithm for the frequency-selective fading channels to classify STBC via Kolmogorov-Smirnov (K-S) test when a single antenna is employed at the receiver. The proposed algorithm exploits the discrimination features provided by the empirical cumulative distributions (CDFs) of the received signal. The distance between CDFs is employed relies on the two-sample Kolmogorov-Smirnov test. The algorithm's performance is compared under the condition in different modulation mode, sampling factors and confidence interval. Monte Carlo simulations are conducted to demonstrate the well performance of the proposed algorithms, and the proposed algorithm does not need the estimation of channel, noise statistics and modulation type, and, consequently, is well-suited for non-cooperative communication context.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Hong-Wen Lin AU - Ke-Yuan Yu AU - Zhao-Gen Zhong AU - Shuai Liu PY - 2016/12 DA - 2016/12 TI - Blind Identification of Space-time Block Coding (STBC) Using Single Receive Antenna over Frequency-selective Fading Channels BT - Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016) PB - Atlantis Press SP - 6 EP - 10 SN - 2352-538X UR - https://doi.org/10.2991/icwcsn-16.2017.2 DO - 10.2991/icwcsn-16.2017.2 ID - Lin2016/12 ER -