CAJ | 학술논문

为了提高联合稀疏频谱环境下未知稀疏度信号的检测精度和速度，提出了一种联合稀疏可变步长的匹配追踪感知算法。算法根据信号内部及信号之间的相关性，利用一种原子匹配测试得到稀疏度的粗估计，采用变步长思想逼近全局最优支撑集，初始阶段利用大步长快速匹配以提高收敛速度，根据恢复情况减小步长以实现精确逼近。实验结果表明：改进的算法在检测概率和收敛速度上均优于SOMP和SSAMP算法。
위료제고연합희소빈보배경하미지희소도신호적검측정도화속도，제출료일충연합희소가변보장적필배추종감지산법。산법근거신호내부급신호지간적상관성，이용일충원자필배측시득도희소도적조고계，채용변보장사상핍근전국최우지탱집，초시계단이용대보장쾌속필배이제고수렴속도，근거회복정황감소보장이실현정학핍근。실험결과표명：개진적산법재검측개솔화수렴속도상균우우SOMP화SSAMP산법。
This paper proposes a Simultaneous Advanced Sparsity Adaptive Matching Pursuit algorithm, to improve the speed and accuracy of reconstruction for joint sparse signals reconstruction with unknown sparsity. The algorithm takes full advantage of both intra-and inter-signal correlation. A method based on atom matching test is used to get an initial estimation of sparsity, and then high value of the step size is used to realize the coarse approach of signal sparse. In the later step iter-ations smaller value of step size decided by recovery progress is used to achieve the precise approach of signal sparse. Experi-ment results show that the proposed algorithm can get better reconstruction performances in probability of detection and recovery time compared with SOMP and SSAMP under the same test conditions.