| 摘要: |
| 以均匀线阵（Uniform Linear Array ,ULA）为子阵，结合频率分集阵（Frequency Diverse Array ,FDA）的思想，构建了一种基于分布式子阵的频率分集阵。针对各子阵按等间距布阵将导致严重的栅瓣问题，提出了一种改进粒子群 (Improved Particle Swarm Optimization ,IPSO) 算法来优化分布式FDA中各子阵间的基线距离，以实现高效的栅瓣抑制。同时，从理论上推导了目标距离和角度均未知时参数估计的克拉美罗下界(Cramer-Rao Lower Bound ,CRLB)。仿真结果表明，优化后分布式FDA的栅瓣得到有效抑制，而且阵列角度维分辨率和估计性能亦得到大幅度提升，验证了所提算法的有效性。 |
| 关键词: 均匀线阵(ULA) 频率分集阵(FDA) 栅瓣抑制 改进粒子群(IPSO)算法 |
| DOI： |
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| 基金项目:中国电子科技集团公司第54研究所新技术研究高校合作项目（HTWB201221361） |
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| A grid lobe suppression method of distributed frequency diverse array based on improved particle swarm optimization algorithm |
| CHEN Chixiong,JING Xiaorong,LIU Youyong,CHEN Jing,JIN Haiyan |
| (1.School of Communication and Information Engineering，Chongqing University of Posts and Telecommunications，Chongqing 400065,China;2.The 54th Research Institute of China Electronics Technology Group Corporation，Shijiazhuang 050081,China;3.School of Aeronautics and Astronautics，University of Electronic Science and Technology of China，Chengdu 611731,China) |
| Abstract: |
| A frequency diverse array (FDA) based on distributed subarray is constructed by taking uniform linear array (ULA) as subarray and combining the idea of FDA.However,the arrangement of subarrays with equal spacing will lead to serious grating lobe.Therefore,an improved particle swarm optimization (IPSO) algorithm is proposed to optimize the baseline distance between subarrays in distributed FDA to efficiently suppress the grating lobe.Meanwhile,the Cramer-Rao Lower Bound (CRLB) of parameter estimation is deduced theoretically when the target distance and angle are unknown.Simulation results show that the grating lobe of distributed FDA is effectively suppressed after optimization,and the array angle resolution and estimation performance are greatly improved,which verifies the effectiveness of the proposed algorithm. |
| Key words: uniform linear array (ULA) frequency diverse array(FDA) grating lobe suppression improved particle swarm optimization(IPSO) algorithm |
