摘要
针对现有的四阶累积量测向算法不可以直接用于相干信源测向的局限,在引入合成导向矢量和合成导向矩阵的基础上建立了一种更通用的阵列数据模型,提出了广义加权信号子空间拟合测向算法。该方法在不损失四阶累积量扩展阵列孔径和任意阵列的情况下可有效估计相干信源和独立信源。为快速求解所提基于四阶累积量的广义加权信号子空间拟合测向算法,在文化算法中使用量子种群和量子演进机制,提出了一种多维搜索的文化量子算法。Monte-Carlo仿真试验证明了所提的测向方法可有效解决使用高阶累积量不能直接测相干信源的局限,在检测性能上与现有一些算法比较有较大的优势。
To resolve the disadvantages of fourth order cumulate algorithms for direction finding of coherent sources, a generalized data model is constructed based on generalized steering vectors and steering matrix. And a generalized weighted signal subspace fitting（GWSSF）algorithm is proposed for direction finding. The proposed GWSSF algorithm may estimate coherent sources without using more sensors and can be applied to arbitrary array. Based on the cultural algorithm and the quantum genetic algorithm, a cultural quantum（CQ）algorithm is proposed for fitting the cost function of GWSSF. In CQ, the mechanism of quantum operator is involved into cultural algorithm, and it can resolve real value optimization problem with high efficient. Monte-Carlo simulations proved that the proposed algorithm can not only find the directions of coherent sources by the algorithms based on fourth order cumulates, but is also superior to the previous algorithms in performance.
出处
《电波科学学报》
EI
CSCD
北大核心
2010年第4期798-804,共7页
Chinese Journal of Radio Science
基金
黑龙江省科技攻关项目(GZ08A101)
中央高校基本科研业务费专项基金资助(HEUCF100801)
关键词
测向
加权信号子空间拟合算法
量子遗传算法
文化算法
四阶累积量
direction finding
weighted signal subspaee fitting algorithm
quantum genetic algorithm
cultural algorithm
fourth order cumulate
