| 摘要: |
| 为了改善认知无线电的频谱感知性能，提出一种基于自相关矩阵的量化合作频谱感
知方法，对各认知用户的本地检测结果采用多个判决门限进行有限位的量化，在融合中心采
用加权投票准则对该量化信息综合处理，得出最终判决。该方法是一种盲感知方法，不需要
知道主用户信号的先验知识和噪声方差信息。具体讨论了一种2 bit量化合作频谱感知
方案
，并将其与传统的基于能量检测的合作频谱感知方案作比较。理论分析和仿真结果表明，该
方案可以有效提高频谱感知能力。 |
| 关键词: 认知无线电 合作频谱感知 2 bit量化 自相关 |
| DOI： |
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| 基金项目: |
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| JIAO Chuan-hai,WANG Ke-ren,JIN Hu |
| (PLA Electronic Engineering Institute, Hefei 230037, China) |
| Abstract: |
| To improve the spectrum detection performance in cognitive radio(CR),a
quantized cooperative spectrum sensing method is proposed based on autocorrela
tion matrix. The local detection results of CR users are quantized with limite
d bits using multithreshold and then the quantized information is sent to
the fusion center synchronously for final decision with the weighted voted rule.
The method is blind without any a priori information of the signal and noise po
wer. A 2 bit quantized cooperative spectrum sensing scheme is discussed.
Theoretic analysis and computer simulation show that the proposed scheme can a
chieve a good tradeoff between detection performance and system complexity
compared with the conventional cooperative spectrum sensing scheme. |
| Key words: cognitive radio(CR) cooperative spectrum sensing 2bit quantization autocorrel
ation |
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