【摘要】 针对低轨天基卫星互联网侦察系统中全空域实时侦收的需求，常采用球冠天线阵接收的方案以达到多目标全空域同时侦收的目的；为避免阵列接收中常见的栅瓣问题，且要求同时获得较窄的波束宽度，相控阵常采用均匀分布间隔布阵的方式，但这就导致阵元数目急剧增加，因此需要对球冠阵接收体制进行稀布优化研究；基于此，采用一种将粒子群与线性规划凸优化理论相结合的优化算法，新方法充分利用粒子群算法全局搜索能力强的优点，并结合凸优化算法局部最优即全局最优的特点，将阵元权值与位置作为联合变量进行优化，从而提升稀布阵列的性能；理论分析和仿真试验验证了该方法在实现稀布效果最优的同时可以有效降低旁瓣电平、保证高增益性能。更多还原

【Abstract】 In view of urgent need for real-time detection of the low-orbit space-based satellite Internet detection system in the whole airspace, the spherical crown antenna array receiving scheme is often used to achieve simultaneous detection of multiple targets and all airspace. In order to avoid common grating lobe problem in array reception and to obtain a narrow beam width, phased array antennas are often designed in an evenly distributed and spaced manner, but this leads to a sharp increase in the number of array elements, so it is necessary to study the sparse distribution optimization of the spherical crown array receiving system. Based on this, this paper presents an optimization algorithm combining particle swarm and linear programming convex optimization theory. This novel method makes full use of the strong global search ability of particle swarm optimization algorithm, combines the characteristics of local optima or global optima in the convex optimization algorithm, and optimizes the array element weight and position as joint variables, so as to improve the performance of the sparse array. Theoretical analysis and simulation experiments show that the proposed method can effectively reduce sidelobe level and ensure high gain performance while achieving an optimal thinning effect.更多还原