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二维面阵子阵划分及PADBF算法研究 被引量:2

Research on Subarray Division and PADBF Algorithm for Two-dimension Planar Array
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摘要 在雷达系统抗干扰优化问题的研究中,自适应数字滤波为主要手段。应用二维面阵子阵划分方法与部分自适应数字波束形成算法中,子阵划分是部分自适应数字波束形成技术为基础。针对二维面阵子阵划分,对降低子阵划分工程实现复杂度大,提出了等功率噪声法与遗传算法(GA)相结合的子阵划分方法,可使同一子阵单元紧密相邻同时避免栅瓣出现。为改善子阵级部分自适应数字波束形成波束旁瓣电平,采用归一法的部分自适应数字波束形成算法,可有效地对干扰进行抑制,显著改善波束旁瓣电平。通过建立二维面阵信号模型,对所提方法进行了计算机仿真,仿真结果证明了所提方法的有效性,可为雷达系统性能优化提供了依据。 The two-dimension planar array subarray division method and the improved partially adaptive digital beam forming(PADBF) algorithm were studied. Partially adaptive digital beam forming technology is based on subar- ray division. In order to reduce subarray architecture complexity, this paper presented the two-dimension planar array subarray division method that combines noise power normalization and genetic algorithm. This subarray division meth- od allows the same sub-array elements in close proximity while avoiding grating lobes appear. An improved PADBF algorithm based on normalization method was also introduced that can improve beam sidelobe level markedly and sup- press jammer effectively. Through the establishment of two-dimension planar array signal model with the proposed method, the computer simulation results demonstrate the effectiveness of the proposed method.
出处 《计算机仿真》 CSCD 北大核心 2012年第7期14-17,共4页 Computer Simulation
关键词 部分自适应数字波束形成 子阵划分 二维面阵 PADBF Subarray division Two dimensional planar array
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