CAJ | 학술논문

利用遗传算法（GA）将大型阵列划分为非均匀邻接子阵，以主旁瓣比作为适应度函数，并对遗传操作增加约束条件，得到具有栅瓣抑制能力的子阵结构。为进一步抑制平面阵俯仰和方位上的高旁瓣，对平面阵进行两级子阵划分，使平面阵方向图在俯仰和方位上均具有良好的主旁瓣电平比；为消除非均匀子阵结构各子阵通道噪声功率不同对子阵级自适应波束形成算法的影响，通过对阵列协方差矩阵进行奇异值分解、重构特征子空间，提出了基于特征空间重构的子阵级自适应波束形成方法。仿真结果表明了该方法的可行性与有效性。
이용유전산법（GA）장대형진렬화분위비균균린접자진，이주방판비작위괄응도함수，병대유전조작증가약속조건，득도구유책판억제능력적자진결구。위진일보억제평면진부앙화방위상적고방판，대평면진진행량급자진화분，사평면진방향도재부앙화방위상균구유량호적주방판전평비；위소제비균균자진결구각자진통도조성공솔불동대자진급자괄응파속형성산법적영향，통과대진렬협방차구진진행기이치분해、중구특정자공간，제출료기우특정공간중구적자진급자괄응파속형성방법。방진결과표명료해방법적가행성여유효성。
An effective subarray partition method based on genetic algorithm(GA)is proposed to divide a large array antenna into contiguous subarrays of unequal sizes.In the genetic algorithm,the main-to-side-lobe ratio(MSR)of pattern is taken as the fitness function.A subarray configuration with few obvious grat-ing lobes is obtained by adding constraint condition in the genetic evolvement.A two-stage subarray partition method based on genetic algorithm(GA)is proposed to divide a planar array antenna into contiguous subar-rays with ununiform structure.Using the two-stage subarray configuration,its pattern has high main-to-sidelobe ratio(MSR)in both the azimuth and elevation orientations.For the purpose of avoiding the influence of unequal noise power out of each subarray,an effectively adaptive beamforming algorithm based on singular value decomposition and eigenspace reconstruction is obtained.The simulation results are given to demon-strate the effectiveness and accuracy of this method.