An Algorithm for Blind Classification of Space-time Block Code Based on Higher-order Statistics
YAN Wenjun① ZHANG Limin② LING Qing① HONG Danfeng③
①(Department of Electronic and Information Engineering, Naval Aeronautical and Astronautical University, Yantai 264001, China) ②(Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai 264001, China) ③(College of Information Engineering, Qingdao University, Qingdao 266071, China)
Blind recognition of Space-Time Block Code (STBC) is a new important task in cognitive radio system. Most of the previous researches require multiple receive antennas, however, in many practical applications, size and power on the receivers may favor single receive antenna solution. To solve the problem above, an algorithm for blind classification of STBC is proposed. Using the correlation of the symbols in STBC block, fourth-order statistics are used as feature, and Euclidean metric between two statistics is used to classify different STBCs. It does not require estimation of the channel, signal-to-noise, and modulation of the transmitted signals. Monte Carlo simulations show the validity of the algorithm with low sensitivity to phase noise and Doppler shift.
闫文君,张立民,凌青,洪丹枫. 基于高阶统计特征的空时分组码盲识别方法[J]. 电子与信息学报, 2016, 38(3): 668-673.
YAN Wenjun, ZHANG Limin,LING Qing, HONG Danfeng. An Algorithm for Blind Classification of Space-time Block Code Based on Higher-order Statistics. JEIT, 2016, 38(3): 668-673.
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