CAJ | 학술논문

基于匹配追踪的稀疏分解方法原理简单,在工程实际中应用广泛,但其计算量大,重构精度也不够理想.针对此问题,利用水下目标回波信号的块稀疏特性,提出了水下目标回波的块信号稀疏分解方法.首先基于水下目标回波和块稀疏信号的基本理论,结合回波信号仿真结果,分析了水下目标回波信号的块稀疏特性;然后,充分考虑回波信号本身的稀疏结构,利用信号分块和原子分块的思想,针对水下目标回波提出了块信号的稀疏分解和块匹配追踪重构算法,并从理论上对其计算复杂度进行了分析;最后,采用仿真实验的方式,与传统方法进行对比.结果表明,该方法大大减少了计算量,提高了重构精度.
기우필배추종적희소분해방법원리간단,재공정실제중응용엄범,단기계산량대,중구정도야불구이상.침대차문제,이용수하목표회파신호적괴희소특성,제출료수하목표회파적괴신호희소분해방법.수선기우수하목표회파화괴희소신호적기본이론,결합회파신호방진결과,분석료수하목표회파신호적괴희소특성;연후,충분고필회파신호본신적희소결구,이용신호분괴화원자분괴적사상,침대수하목표회파제출료괴신호적희소분해화괴필배추종중구산법,병종이론상대기계산복잡도진행료분석;최후,채용방진실험적방식,여전통방법진행대비.결과표명,해방법대대감소료계산량,제고료중구정도.
The principle of the sparse decomposition method based on matching pursuit is simple, and it is widely used in the practical engineering. But calculation amount and reconstruction accuracy is not satisfactory. To solve the problem, block signal sparse decomposition method for underwater echo is proposed based on block sparse characte-ristics of echo signal. At first, block sparse characteristics of underwater acoustic echo signal is analyzed by combining the basic theory of echo and block sparse signal with echo signal simulation results. And then, considering the sparse structure of the echo signal itself, and using the idea of atomic block and signal block, algorithms of block sparse de-composition and block matching pursuit for underwater echo signal are proposed, and computational complexity is analyzed from the theory. At last, by the simulation experiment, the method in this paper is compared with traditional method, and the results show that the presented method in this paper can greatly reduce the amount of computation, and improve the accuracy of the reconstruction.