学术
基于LCMV线性约束的自适应方向图控制
苏保伟[1,2] 王永良[2] 周良柱[1]
[1]国防科技大学电子科学与工程学院,长沙410073 [2]空军雷达学院雷达兵器运用工程军队重点实验室,武汉430019
摘 要:
该文提出一种基于线性最小方差约束（LCMV）的自适应方向图控制方法，在约束条件中增加了对静态方向图的拟合条件，可以在自适应抗干扰的同时形成期望副瓣形状，分析了小快拍条件下自适应方向图副瓣起伏机理，并把对角加载与本方法结合，极大改善了副瓣收敛速度，并在小快拍时就能有较好的性能。随后的计算机仿真证明了本文方法的有效性。[著者文摘]
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文章出处:
《电子与信息学报》-2008年30卷2期 -282-285页
栏目信息:
分 类 号:
文献标识码:
A
文章编号:
1009-5896（2008）02-0282-04
A Novel Adaptive Pattern Control Method Based on LCMV
Su Bao-wei, Wang Yong-liang,Zhou Liang-zhu（1.National University of Defense Technology, Changsha 410073, China;2.Laboratory of Radar Armament and Utilization Engineering, Wuhan Radar Academy, Wuhan 430019, China）
Abstract:
This paper describes a simple adaptive pattern control method based on Linearly Constrained Minimum Variance （LCMV）. The quiescent pattern weights are imposed in constrain which make the overall beamformer sidelobe response equal the desired quiescent response and form nulls in the direction of interference at the same time. The sidelobe exhibits large ripples in condition of small training sample size and the diagonal loading method is combined with this method, which improve the convergence speed in sidelobe. The effectiveness of this new method is illustrated by a few designed examples.[著者文摘]
Key words:
Linearly Constrained Mininum Variance （LCMV） beamformer; Adaptive pattern control; Diagonal loading
基金资助:
国家自然科学基金（No.60272086）和高校优秀青年教师教学科研奖励计划（TRAPOYT）资助课题
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