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基于子带SDL的宽带抗干扰恒定束宽波束形成
引用本文:陈晖,刘成城,李冬海,汪婉秋.基于子带SDL的宽带抗干扰恒定束宽波束形成[J].信息工程大学学报,2013,14(3):312-319.
作者姓名:陈晖  刘成城  李冬海  汪婉秋
作者单位:信息工程大学,信息工程大学;92773部队
基金项目:国家863计划资助项目(2011AA7031015)
摘    要:针对宽带恒定束宽波束形成通常需要大量阵元或延迟线所带来的硬件开销较大,并且抗干扰效果较差的问题,提出一种基于子带阵元延迟线(SDL)的宽带抗干扰恒定束宽波束形成算法。该算法通过建立子带SDL模型,利用子带滤波器组将阵元接收信号进行分解与重构,基于约束最小二乘算法进行子带抗干扰恒定束宽波束形成,并将滤波器组的冲击响应直接作为优化参量,可有效降低分解与重构产生的误差。为了衡量阵列响应的波动程度,提出归一化波动程度的概念。仿真结果表明,子带波束形成器具有比全带波束形成器更好的频率不变性和抗干扰能力,而且可以大大降低硬件开销。

关 键 词:宽带恒定束宽  子带滤波器组  阵元延迟线  约束最小二乘  归一化波动程度

Interference Suppression Frequency Invariant Beamforming Based on Subband Sensor Delay Lines
CHEN Hui,LIU Cheng-cheng,LI Dong-hai,WANG Wan-qiu.Interference Suppression Frequency Invariant Beamforming Based on Subband Sensor Delay Lines[J].Journal of Information Engineering University,2013,14(3):312-319.
Authors:CHEN Hui  LIU Cheng-cheng  LI Dong-hai  WANG Wan-qiu
Affiliation:1. Information Engineering University , Zhengzhou 450001, China; 2. Unit 92773, Wenzhou 325807, China)
Abstract:Wideband beamformer usually needs a large number of sensors or tapped delay lines, which lead to high hardware load, and the capability of interference suppression is also poor. To al- leviate these problem, This paper proposes an interference suppression frequency invariant beam- forming algorithm based on subband sensor delay lines (SDL). Firstly, a novel subband SDL model is developed, based on which the received signal is decomposed by analyzing filter banks and recom- bined by synthesis filter banks. And finally the constrained least squares algorithm is applied to the subband beamformers to suppress the interference, and the concept of normalized variance degree is raised to measure the variance of array response. Simulation results demonstrate that, compared with fullband beamformer, the subband beamformer not only has better frequency invariance and the per- formance of interference suppression, but also can greatly reduce high hardware load.
Keywords:wideband frequency invariant beamforming  subband filter banks  sensor delay lines (SDL)  constrained least squares (CLS)  normalized variance degree
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