摘要
针对常规自适应波束形成算法在强相干干扰情况下零陷深度不够、甚至干扰抑制失效的问题,提出了一种基于二阶锥规划的相干信号深零陷自适应波束形成算法。该算法首先对接收数据协方差矩阵进行Toeplitz重构,使其包含信号和干扰的所有方位信息。然后重构了干扰加噪声协方差矩阵。接着在保证期望方向波束无失真前提下,约束主瓣宽度和旁瓣电平,使得波束形成器干扰和噪声的输出功率最小。最后将该问题转化为凸优化中的二阶锥规划问题,并使用凸优化工具箱进行快速求解。仿真结果验证了该算法的有效性。
Because the traditional adaptive beamfonner suffers from the null shallow and even in- terference suppression failure when the coherent interference is strong, an adaptive beam-form- ing of coherent signals with null depping based on second order cone programming （SOCP） is proposed. Firstly, in order to ensure the covariance matrix contains all directional information of signal and interferences, a Toeplitz matrix is formed with this algorithm based on covariance ma- trix of received data. Secondly, the interference-plus-noise covariance matrix is reconstructed and optimized. Thirdly, the optimum beam-forming is designed with this method according to the rule of minimizing the beamformer＇ s output power of interferences and noise while keeping the distortionless response in the direction of desired signal and keeping constant side-lobe level and beamwidth. At last, the original problem can be translated into SOCP problem, which can be solved effectively via convex optimization toolbox. The simulation proves the effectiveness of this algorithm.
出处
《电子信息对抗技术》
2016年第5期76-82,共7页
Electronic Information Warfare Technology
基金
中国博士后科学基金(2014M552606)
中国博士后科学基金特别资助(2015T81083)
安徽省自然科学基金(1408085MF111)
关键词
二阶锥规划
相干干扰
协方差矩阵重构
零陷加深
凸优化
second order cone programming （SOCP）
coherent interference
covariance matrixreconstruction
null deeping
convex optimization
