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认知无线电作为一种先进的技术,它可以通过有效的利用未被主用户使用的频谱来提高频谱的利用效率。然而,由于无线环境的复杂性,单节点频谱检测的可靠性大大下降,虽然现有的合作频谱检测算法在一定程度上提高了频谱检测的性能,但仍未达到最佳。基于此,本文提出了一种信噪比加权的合作频谱检测算法来提高信号的检测概率,然后在加性高斯信道(AWGN)和瑞利衰落(Rayleigh)信道下对该算法进行了仿真验证。仿真结果表明:该算法能大大提高了信号的检测性能,具有很强的抗衰落能力。
Cognitive radio, as an advanced technology, can improve the efficiency of spectrum utilization by effectively using the spectrum that is not used by the primary user. However, due to the complexity of the wireless environment, the reliability of single-node spectrum detection greatly decreases. Although the existing cooperative spectrum detection algorithm improves the performance of spectrum detection to some extent, it still has not reached the optimum. Based on this, this paper proposes a cooperative spectrum detection algorithm with signal-to-noise ratio weighted to improve the signal detection probability. Then, the algorithm is validated by AWGN and Rayleigh channel. Simulation results show that the proposed algorithm can greatly improve the signal detection performance and has strong anti-fading ability.