CAJ | 학술논문

考虑目标频率-方位2维观测数据在属性散射中心模型参数空间上的稀疏性，该文提出一种基于稀疏表示的属性散射中心提取与参数估计方法。由于模型参数维数较高，构造的高维联合字典将消耗较多系统资源。该算法通过分别构建包含位置信息与方位属性参数信息的两个低维字典代替高维的联合字典实现距离特性与方位特性的解耦合，以降低资源需求，并通过正交匹配追踪(OMP)-RELAX联合算法求解l0优化问题，从而实现在频率-方位角域上位置参数与方位属性参数的联合估计。根据提取的属性散射中心可以有效地估计目标或目标重要部件的几何尺寸。基于电磁计算数据和实测数据的实验结果验证了该算法的有效性。
고필목표빈솔-방위2유관측수거재속성산사중심모형삼수공간상적희소성，해문제출일충기우희소표시적속성산사중심제취여삼수고계방법。유우모형삼수유수교고，구조적고유연합자전장소모교다계통자원。해산법통과분별구건포함위치신식여방위속성삼수신식적량개저유자전대체고유적연합자전실현거리특성여방위특성적해우합，이강저자원수구，병통과정교필배추종(OMP)-RELAX연합산법구해l0우화문제，종이실현재빈솔-방위각역상위치삼수여방위속성삼수적연합고계。근거제취적속성산사중심가이유효지고계목표혹목표중요부건적궤하척촌。기우전자계산수거화실측수거적실험결과험증료해산법적유효성。
Considering the sparsity of the frequency-aspect backscattered data in the attributed scattering center model parameter domain, a novel method based on sparse representation is proposed to extract attributed scattering center and estimate parameters in frequency-aspect domain. Due to the high dimension of model parameter, one high dimensional joint dictionary needs to be constructed, which may cost a mass storage. In this paper, two low dimensional dictionaries including localization and aspect attribute parameters respectively are constructed to replace the high dimensional joint dictionary to decouple the range characteristic and aspect characteristic, and reduce resource cost;Orthogonal Matching Pursuit (OMP) combined with RELAX are utilized to find the solution of the minimum l0 norm optimization issue and estimate localization parameters and aspect attribute parameters simultaneously. With the extracted attributed scattering centers, geometrical dimensions of the target or its main structure can be estimated. Numerical results both on electromagnetic computation data and measured data verify the validity of the proposed method.