CAJ | 학술논문

针对有阵列孔径，阵元数目和最小阵元间距3种约束下的稀布圆形阵列综合问题，该文提出了一种基于修正遗传算法的降维优化方法。为了充分利用阵元布阵的自由度，同时使稀布阵列满足多个设计约束，在阵元排布时将2维平面阵列优化设计降维成1维的稀布直线阵列，计算阵列性能时再还原为平面阵列。该方法改进了现有圆阵综合方法中轨迹圆半径和轨迹圆上阵元数分布优化的不足，实现了全部阵元的联合优化，降低了算法的复杂性，同时保证了阵列的旁瓣性能，仿真结果证明了该方法的有效性。
침대유진렬공경，진원수목화최소진원간거3충약속하적희포원형진렬종합문제，해문제출료일충기우수정유전산법적강유우화방법。위료충분이용진원포진적자유도，동시사희포진렬만족다개설계약속，재진원배포시장2유평면진렬우화설계강유성1유적희포직선진렬，계산진렬성능시재환원위평면진렬。해방법개진료현유원진종합방법중궤적원반경화궤적원상진원수분포우화적불족，실현료전부진원적연합우화，강저료산법적복잡성，동시보증료진렬적방판성능，방진결과증명료해방법적유효성。
A dimensionality reduction method based on modified genetic algorithm is presented under the constraints of fixing the aperture, the number of elements and the minimum element spacing. In order to utilize effectively the freedom of array element, the proposed method transforms the positions of two-dimensional concentric rings array optimization design into one-dimensional linear array when sparse array meet multiple optimization constraints, and then restore to the concentric rings array when calculating its performance. The proposed method reduces greatly the computation time and the complexity of the model. Meanwhile, due to the combined optimization of all elements, the optimization design is improved. Simulation results demonstrate the effectiveness of the proposed method.