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基于凸优化的最优失配滤波器设计方法 被引量:2

Optimal Peak Side-lobe Level Mismatched Filter Design Method via Convex Optimization
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摘要 研究提出了基于凸优化的最优峰值旁瓣电平失配滤波器设计方法。与传统的迭代最小二乘方法相比,凸优化方法具有更优越的性能即:不仅能够控制失配滤波器的信噪比损失,而且能够保证收敛到全局最优的峰值旁瓣电平。仿真实验表明,增加失配滤波器长度,以微小的信噪比损失,凸优化方法能够得到理想的峰值旁瓣电平;通过选择匹配滤波器与失配滤波器的相似程度参数可以有效控制信噪比损失。 In this paper, a mismatched filter design method based on convex optimization is proposed. Compared with existing iterative weighted least squares method, the convex optimization method has superior performance. It can not only control the SNR loss, but also get a lower peak side-lobe level. Simulation results show that by increasing the coefficient length of mismatched filter , the proposed methods can further improve the peak sibe-lobe level with a little SNR loss. Moreover, SNR loss can be controlled via selecting a parameter called degree of similarity between matched filter and mismatched filter.
作者 胡亮兵
出处 《中国电子科学研究院学报》 北大核心 2015年第2期209-212,共4页 Journal of China Academy of Electronics and Information Technology
关键词 失配滤波器设计 最优峰值旁瓣电平 信噪比损失可控 凸优化 Mismatched filter design peak side-lobe level convex optimization
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