【摘要】 针对极低信噪比情况,提出一种基于混沌理论的周期信号的频谱感知算法.该算法利用混沌系统中对周期小信号的敏感特性以及对噪声的免疫特性,在很大程度上解决了感知低功率谱密度信号和隐藏的授权用户的问题.仿真证明了算法的可行性和有效性.更多还原

【Abstract】 To sense the signal with extreme low SNR in cognitive radio,a periodical signal detection method based on chaos theory is proposed.The method can solve the problem of sensing hidden primary users and low power spectral density signals to a great extent by using the properties of chaos system to sense periodical weak signal and to immunize system from noise.Simulation result has verified the feasibility and validity of the proposed method.更多还原