Practical issues in spectrum sensing for multi-carrier system employing pilot tones

Practical issues in spectrum sensing for multi-carrier system employing pilot tones
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使用导频音的多载波系统频谱感知的实际问题

DOI:
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发表时间:
2010
期刊:
International Symposium on Applied Sciences in Biomedical and Communication Technologies
影响因子:
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通讯作者:
T. Kaiser
T. Kaiser
中科院分区:
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文献类型:
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作者:
Hanwen Cao;Souhir Daoud;A. Wilzeck;T. Kaiser

文献摘要

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多载波技术,如OFDM,被广泛应用于当今无线电通信和广播系统的物理层。因此,在认知无线电中,非常需要针对此类信号的鲁棒频谱感测技术。与传统的基于循环前缀(CP)的方法相比,新报道的基于时域符号互相关的频谱感知(TDSC)方法[1][2]在感知准确性和对CP的短时和信道时间扩展污染的鲁棒性方面都具有优势。该感测方法能够感测具有重复导频图案的所有多载波信号。在本文中,进一步验证TDSC-NP(Neyman-Pearson)和TDSC-MRC(最大比合并)方法的实际问题,考虑到,如噪声的不确定性,振荡器的不完善性和计算的复杂性。通过仿真验证了TDSC用于滤波器组多载波信号检测的可行性。对模拟信号和实际多径衰落下的DVB-T捕获信号进行了分析,捕获信号的感知性能与模拟信号的感知性能吻合较好。
Multi-carrier techniques such as OFDM are widely adopted in the physical layer of nowadays radio communication and broadcasting systems. Therefore in cognitive radio, a robust spectrum sensing techniques for such signals is highly desired. Comparing with traditional Cyclic Prefix (CP) based method, newly reported Time-Domain Symbol Cross-correlation based spectrum sensing (TDSC) method [1][2] shows both advantages in sensing accuracy and robustness against shortness of and channel time spread pollution to CP. This sensing method is able to sense all multi-carrier signals with repeated pilot patterns. In this paper, further validations of TDSC-NP (Neyman-Pearson) and TDSC-MRC (Maximal Ratio Combining) methods are presented with practical issues taken into account, e.g. noise uncertainty, oscillator imperfection and computational complexity. The feasibility of applying TDSC for sensing Filter Bank Multi-Carrier (FBMC) signal is validated via simulation. Both simulated signal and captured DVB-T signal with real-world multi-path channel fading are analyzed and the sensing performance of captured signal agrees with that of simulated signal very well.