CAJ | 학술논문

针对在分析高阶多项式相位信号(PPS)时,Wisher-Ville分布(WVD)的交叉项使得时频分布图变得难以解释,为了提高信号计算速度和数据提取精度,采用基于匹配追踪(MP)算法的信号稀疏分解来抑制交叉项,但是稀疏分解计算量大,难以应用在实时信号处理.将粒子群优化算法用于稀疏分解的最优匹配原子的搜索,能降低稀疏分解复杂度,同时减少稀疏分解的超完备字典对存储空间的占用,可以提高用稀疏分解理论进行信号处理的计算效率,满足或接近实时性的要求.计算机仿真结果证实了方法的有效性.
침대재분석고계다항식상위신호(PPS)시,Wisher-Ville분포(WVD)적교차항사득시빈분포도변득난이해석,위료제고신호계산속도화수거제취정도,채용기우필배추종(MP)산법적신호희소분해래억제교차항,단시희소분해계산량대,난이응용재실시신호처리.장입자군우화산법용우희소분해적최우필배원자적수색,능강저희소분해복잡도,동시감소희소분해적초완비자전대존저공간적점용,가이제고용희소분해이론진행신호처리적계산효솔,만족혹접근실시성적요구.계산궤방진결과증실료방법적유효성.
For the analysis of high order polynomial phase signals,the figure of time-frequency distribution becomes difficult to understand due to cross-terms in the Wigner-Ville distribution(WVD).Cross-term suppression is obtained by using spare decomposition based on matching pursuit(MP),but the computational burden in signal sparse decomposition process is so huge that it is almost impossible to apply it to real time signal processing.To reduce complexity of sparse decomposition and space of memory,particle swarm optimization is used in searching the best atom.Particle swarm optimization can increase the efficiency processing signal using sparse decomposition,and then this method can meet(or near)the request of real time.The validity of this method is proved by experimental results.