基于功率谱对消的时域相关认知跳频谱检测算法

认知跳频技术将认知无线电运用到跳频通信中,通过检测认知跳频频谱中的"频谱空穴"来更新跳频点集,避免频点碰撞,提高频谱利用率。针对频谱检测中的时域相关算法因噪声和授权信号的存在,导致频谱空穴的判定门限难以确定,从而使占用信号的检测概率较低的问题,提出了一种基于功率谱对消的时域相关算法来检测跳频谱。与未经过功率谱对消运算的传统时域相关算法相比,该算法能有效提高信号的检测概率,具有实时性好、克服白噪声不确定性、抑制授权信号干扰的优点。理论分析与仿真结果表明,基于功率谱对消的时域相关算法优于传统时域相关算法。

Time-domain Correlation Algorithm of Cognitive Frequency Hopping Based on Power Spectrum Cancellation

Cognitive frequency hopping technology is to apply cognitive radio to frequency hopping communication.The spectrum hole in cognitive frequency hopping spectrum can be detected effectively to avoid the collision of frequency points and improve the spectral efficiency to update the frequency hopping points.The time-domain correlation algorithm in spectrum detection technology for cognitive radio has some defects in anti-interference,universality and real-time performance due to the existence of noise and primary signals.A time-domain correlation algorithm based on power spectrum cancellation is proposed to detect the cognitive frequency hopping spectrum.The proposed algorithm can be used to improve the detection probability of signals.Moreover,it can overcome the noise uncertainty and restrain the primary signals.Theoretical analysis and computer simulation demonstrate that the time-domain correlation algorithm based on power spectrum cancellation is superior to traditional time-domain correlation algorithm.