| 基于感知矩阵统计相关系数最小化的压缩感知雷达波形优化设计 |
| |
| 引用本文： | 贺亚鹏,庄珊娜,李洪涛,朱晓华.基于感知矩阵统计相关系数最小化的压缩感知雷达波形优化设计[J].电子与信息学报,2011,33(9):2097-2102. |
| |
| 作者姓名： | 贺亚鹏 庄珊娜 李洪涛 朱晓华 |
| |
| 作者单位： | 南京理工大学电子工程与光电技术学院 南京210094 |
| |
| 基金项目： | 南京理工大学自主科研专项计划(2010ZYTS028,2010ZDJH05);南京理工大学科研启动基金资助课题 |
| |
| 摘 要： | 为了改善压缩感知雷达(Compressive Sensing Radar, CSR)目标参数提取的性能，该文提出一种最小化感知矩阵统计相关系数的CSR波形优化设计方法。文中首先建立了通用的CSR系统模型，推导了最小化感知矩阵统计相关系数的波形优化目标函数，其次以多相编码信号作为优化码型并采用遗传算法对目标函数进行优化求解。优化设计的波形使得感知矩阵子矩阵近似正交程度达到最优，与传统波形相比，能够有效降低目标参数估计误差，提高可检测目标个数的上限，改善了CSR目标参数提取的准确性和鲁棒性。计算机仿真验证了该方法的有效性。
|
| 关 键 词： | 压缩感知雷达 波形优化 感知矩阵相关系数 遗传算法 |
| 收稿时间： | 2011-01-11 |
| 修稿时间： | 2011-05-10 |
Waveform Design for Compressive Sensing Radar Based on Minimizing the Statistical Coherence of the Sensing Matrix |
| |
| He Ya-peng,Zhuang Shan-na,Li Hong-tao,Zhu Xiao-hua.Waveform Design for Compressive Sensing Radar Based on Minimizing the Statistical Coherence of the Sensing Matrix[J].Journal of Electronics & Information Technology,2011,33(9):2097-2102. |
| |
| Authors: | He Ya-peng Zhuang Shan-na Li Hong-tao Zhu Xiao-hua |
| |
| Institution: | He Ya-peng Zhuang Shan-na Li Hong-tao Zhu Xiao-hua(School of Electronic Engineering and Optoelectronic Technology,Nanjing University of Science and Technology,Nanjing 210094,China) |
| |
| Abstract: | To enhance the performance of Compressive Sensing Radar(CSR) target information extraction ability,a CSR optimal waveform design method based on minimizing the statistical coherence of the sensing matrix is proposed.First,a universal CSR model is established and waveform optimization object function minimizing the coherence of the sensing matrix is derived.Then,the Genetic Algorithm(GA) is employed to solve this problem with polyphase coded signal as an example code.The optimized waveform makes the sub-sens... |
| |
| Keywords: | Compressive Sensing Radar(CSR) Waveform optimization Coherence of the sensing matrix Genetic Algorithm(GA) |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《电子与信息学报》浏览原始摘要信息 |
| 点击此处可从《电子与信息学报》下载免费的PDF全文 |
