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基于多参数二次规划的零陷展宽和旁瓣控制方法
引用本文:刘福来,陈萍萍,汪晋宽,彭泸.基于多参数二次规划的零陷展宽和旁瓣控制方法[J].东北大学学报(自然科学版),2012,33(11):1559-1562.
作者姓名:刘福来  陈萍萍  汪晋宽  彭泸
作者单位:1. 东北大学秦皇岛分校,河北秦皇岛066004 东北大学信息科学与工程学院,辽宁沈阳110819
2. 东北大学信息科学与工程学院,辽宁沈阳,110819
基金项目:基金项目:中央高校基本科研业务费专项资金资助项目,国家自然科学基金资助项目,河北省科技厅资助项目,河北省教育厅资助项目,辽宁省自然科学基金资助项目
摘    要:自适应波束形成算法能将零陷自动对准干扰方向,但在干扰源角度抖动等情况下,会使自适应权和数据失配.此外,在快拍数较少的情况下,传统的自适应波束形成方法可能会出现很高的旁瓣.针对上述问题,提出了一种有效的基于多参数二次规划的零陷展宽和旁瓣控制方法.首先,利用锥化矩阵修正采样协方差矩阵展宽干扰源的零陷;然后,用主瓣区域外的多个二次不等式控制旁瓣;最后用多参数二次规划方法求解优化问题.该方法不仅能获得更高的阵列输出增益,而且可以通过实值计算得到最优权向量.仿真结果验证了算法的有效性.

关 键 词:自适应波束形成  零陷展宽  旁瓣控制  多参数二次规划  协方差矩阵锥化  

Null Broadening and Sidelobe Control Method Based on Multiparametric Quadratic Programming
Liu,Fu-Lai ,Chen,Ping-Ping ,Wang,Jin-Kuan ,Peng,Lu.Null Broadening and Sidelobe Control Method Based on Multiparametric Quadratic Programming[J].Journal of Northeastern University(Natural Science),2012,33(11):1559-1562.
Authors:Liu  Fu-Lai  Chen  Ping-Ping  Wang  Jin-Kuan  Peng  Lu
Affiliation:(1) Northeastern University at Qinhuangdao, Qinhuangdao 066004, China; (2) School of Information Science and Engineering, Northeastern University, Shenyang 110819, China
Abstract:The direction-of-arrival of jammer can be aimed at automatically based on the adaptive beamforming algorithm. However, it will be resulted in the mismatch between adaptive weight and data due to the perturbation of the interference location. Besides, the traditional beamformers may have unacceptably high sidelobes when few samples are available. To solve the above problems, an effective approach was presented to broaden null and control sidelobes. Firstly, a tapered covariance matrix was constructed to modify the measured covariance matrix. Secondly, multiple quadratic inequality constraints outside the mainlobe beampattern area were used to control sidelobes. Thirdly, the resulting optimization problem was formulated as a multi-parametric quadratic programming (mp-QP) problem. Simulation results were presented to verify the efficiency of the proposed algorithm, such as it can achieve higher array gain and the optimal weight vector can be easily obtained by real-valued computation.
Keywords:adaptive beamforrning  null broadening  sidelobe control  multi-parametric quadratic programming  covariance matrix tapers
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