CAJ | 학술논문

对信号稀疏度未知甚至时变的频谱感知应用场景，将自适应思想与序贯压缩频谱感知技术相结合，提出了一种可变步长序贯压缩频谱快速感知算法。新算法建立了下一次判决所需观测值数目步长因子与当前对数似然比距门限距离之间的函数关系，克服了现有的序贯压缩检测算法以固定步长增加观测值的不足。分别以分段函数和抛物线函数为步长因子调整规则进行理论分析和仿真实验。仿真结果表明：与现有的序贯压缩检测算法相比，变步长算法具有检测速度快、观测值数目少和计算复杂度小等优点。
대신호희소도미지심지시변적빈보감지응용장경，장자괄응사상여서관압축빈보감지기술상결합，제출료일충가변보장서관압축빈보쾌속감지산법。신산법건립료하일차판결소수관측치수목보장인자여당전대수사연비거문한거리지간적함수관계，극복료현유적서관압축검측산법이고정보장증가관측치적불족。분별이분단함수화포물선함수위보장인자조정규칙진행이론분석화방진실험。방진결과표명：여현유적서관압축검측산법상비，변보장산법구유검측속도쾌、관측치수목소화계산복잡도소등우점。
The signal sparsity is often unknown ,or even changed with time in spectrum sensing .There‐fore ,a variable step‐size sequential compressed detection algorithm is proposed by combining the adaptive theory with the sequential compressed spectrum sensing technology .The functional relationship is estab‐lished between step‐size factor of the next needed measurement numbers and current distance from the likelihood ratio and the detection thresholds .In addition ,the shortcoming of the fixed step size of the measurement increment in the existing sequential compressed sensing is overcomed in the proposed algo‐rithm .Theoretical analysis and computer simulations are conducted by introducing the rules of step size adjustment with piecewise function and parabolic function ,respectively .Simulations prove that ,the pro‐posed algorithm has the faster detection speed ,less measurements number and lower computational com‐plexities ,compared with the existing sequential compressed detection scheme .