Title :
Analysis of improved cyclostationary detector with SLC diversity over Nakagami-m fading channels
Author :
Ying Zhu ; Kun Su ; Dingfa Wang ; Mingri Zhu ; Yonghua Li
Author_Institution :
Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
Spectrum sensing is a key technical challenge for cognitive radio (CR). It is well known that multi-cycle cyclostationarity (MC) detector is a powerful method for spectrum sensing. However, conventional MC detector is difficult to implement due to its high computational complexity. This paper pays attention to the fact that the computation complexity can be reduced by simplifying the test statistic of conventional MC detector. Based on this simplification process, an improved MC detector is proposed. Compared with the conventional one, the proposed detector has the low-computational complexity and high-accuracy on sensing performance. Subsequently, the sensing performance of proposed detector is investigated over Nakagami-m fading channels. Furthermore, the SLC diversity is introduced to improve the detection reliability over fading channels. The corresponding closed-form expression of average detection probability is derived by using the moment generation function (MGF) approach. Finally, simulation results verify the efficiency and accuracy of proposed detector, which contributes to a performance gain of approximately 3dB for 2-branches SLC even if serious Nakagami-m fading exist.
Keywords :
Nakagami channels; cognitive radio; computational complexity; diversity reception; probability; reliability; signal detection; MGF; Nakagami-m fading channels; SLC diversity; cognitive radio; computational complexity; detection probability; detection reliability; moment generation function; multicycle cyclostationary detector; sensing performance; spectrum sensing; square law combining; Computational complexity; Detectors; Fading; Nakagami distribution; Signal to noise ratio; MGF; Nakagami-m fading; SLC; improved MC detector; spectrum sensing;
Conference_Titel :
Communications and Networking in China (CHINACOM), 2013 8th International ICST Conference on
Conference_Location :
Guilin
DOI :
10.1109/ChinaCom.2013.6694579