【摘要】 认知无线电网络中,由于噪声不确定性降低认知用户频谱检测的准确性。将盲源分离算法引入认知无线电的频谱检测,提出了基于源分离的本地盲频谱检测算法,目标是在最大化用户信噪比的同时,降低噪声不确定性的不良影响,能在全盲的基础上完成本地频谱检测。仿真结果表明,所提出的算法可进一步提升认知用户对频谱检测的准确率,并降低噪声不确定性对统计判决的影响。更多还原

【Abstract】 Incognitive radio networks,the noise uncertainty would result inthereduction of spectrum detection accuracy.The blind source separation model is applied to sense spectrum in cognitive radio networks.Asource separation-based local blind spectrum detection algorithm is proposed to maximize the signal to noise ratio of users as well as decrease the negative effect of noise uncertainty.Thus,it canapplied toblindly detect the vacant spectrum sensingbased on the local information.Simulation resultsindicate that the proposed scheme can improve the spectrum detection performance,and decrease the negativeinfluence of noise uncertainty.更多还原