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基于改进粒子群算法的平面阵同时多波束赋形方法 被引量:4
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作者 魏法 杨明磊 +2 位作者 何小静 周鼎森 陈伯孝 《系统工程与电子技术》 EI CSCD 北大核心 2022年第6期1789-1797,共9页
针对当下平面阵同时多波束赋形需求,提出基于改进粒子群算法的平面阵同时多波束赋形方法。将自适应操作粒子结构、反梯度加权用于粒子群搜索算法作为创新点,根据粒子群收敛度自适应调整操作粒子结构的概率,以平衡粒子群全局探索和局部... 针对当下平面阵同时多波束赋形需求,提出基于改进粒子群算法的平面阵同时多波束赋形方法。将自适应操作粒子结构、反梯度加权用于粒子群搜索算法作为创新点,根据粒子群收敛度自适应调整操作粒子结构的概率,以平衡粒子群全局探索和局部利用能力,根据多目标优化程度对各优化指标反梯度加权,以抑制多目标优化失衡,对阵列相位、幅度优化实现低旁瓣、窄波束宽度和高增益的效果。实验表明,在传统非线性智能优化方法效果不好的情况下,该方法对阵元数较多的任意平面阵同时多波束赋形效果较好。 展开更多
关键词 平面阵 同时多波束赋形 粒子群算法 自适应操作粒子结构 反梯度加权
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Evaluating gravity gradient components based on a reweighted inversion method
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作者 Cao Ju-Liang Qin Peng-Bo Hou Zhen-Long 《Applied Geophysics》 SCIE CSCD 2019年第4期491-506,561,共17页
In gravity gradient inversion,to choose an appropriate component combination is very important,that needs to understand the function of each component of gravity gradient in the inversion.In this paper,based on the pr... In gravity gradient inversion,to choose an appropriate component combination is very important,that needs to understand the function of each component of gravity gradient in the inversion.In this paper,based on the previous research on the characteristics of gravity gradient components,we propose a reweighted inversion method to evaluate the influence of single gravity gradient component on the inversion resolution The proposed method only adopts the misfit function of the regularized equation and introduce a depth weighting function to overcome skin effect produced in gravity gradient inversion.A comparison between different inversion results was undertaken to verify the influence of the depth weighting function on the inversion result resolution.To avoid the premise of introducing prior information,we select the depth weighting function based on the sensitivity matrix.The inversion results using the single-prism model and the complex model show that the influence of different components on the resolution of inversion results is different in different directions,however,the inversion results based on two kind of models with adding different levels of random noise are basically consistent with the results of inversion without noises.Finally,the method was applied to real data from the Vinton salt dome,Louisiana,USA. 展开更多
关键词 Reweighted inversion method depth weighting function gravity gradient component characteristics
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