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波形相关矩阵未知情况下单基地MIMO雷达中一种改进MUSIC的DOA估计算法
  • ISSN号：1009-5896
  • 期刊名称：《电子与信息学报》
  • 时间：0
  • 分类：TN95[电子电信—信号与信息处理;电子电信—信息与通信工程]
  • 作者机构：[1]南京航空航天大学电子信息工程学院,南京210016
  • 相关基金：国家自然科学基金（60801052）,江苏省博士后科研资助计划项目（1201039C）,厦门大学水声通信与海洋信息技术教育部重点实验室开放课题和中央高校基本科研业务费专项资金fNZ2012010,kfij120115,kfjj20110215）资助课题
作者： 陈晨[1], 张小飞[1], 李建峰[1]
关键词： 雷达, 波形相关矩阵, 改进MUSIC, DOA估计, Radar, Waveforms correlated matrix, Improved MUSIC, DOA estimation
中文摘要：

该文研究了波形相关矩阵未知情况下多输入多输出（MIMO）雷达中的角度估计问题，提出了一种单基地MIMO雷达中改进多重信号分类（MUSIC）的到达角（DOA）估计算法。该算法可以在波形相关矩阵未知的情况下工作且性能优于传统的传播算子（PM）和借助旋转不变技术估计信号参数（ESPRIT）算法以及基于接收信号重构的MUSIC算法。该文算法可以扩展到任意阵列结构的MIMO雷达中进行角度估计。该文还给出了单基地MIMO雷达中DOA估计的克拉美罗界（CAB）。仿真结果验证了该算法的有效性。

英文摘要：

The issue of angle estimation in Multiple-Input Multiple-Output （MIMO） radar is discussed without knowledge of waveforms correlated matrix, and an improved MUltiple Signal Classification （MUSIC） algorithm is proposed for Direction Of Arrival （DOA） estimation in monostatic MIMO radar. The proposed algorithm does not require the knowledge of transmit waveforms correlated matrix, and has better angle estimation performance than the conventional Propagator Method （PM）, Estimation of Signal Parameters via Rotational Invariance Techniques （ESPRIT） algorithm, and MUSIC based on reconstruction of output signal. And the algorithm can be used in MIMO radar with any array construction for angle estimation, and the Cramer-Rao Bound （CRB） in monostatic MIMO radar is derived. The simulation results demonstrate the effectiveness of the proposed approach.

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期刊信息
  • 《电子与信息学报》
  • 中国科技核心期刊
  • 主管单位:中国科学院
  • 主办单位:中国科学院电子学研究所 国家自然科学基金委员会信息科学部
  • 主编：朱敏慧
  • 地址：北京市北四环西路19号
  • 邮编：100190
  • 邮箱：jeit@mail.ie.ac.cn
  • 电话：010-58887066
  • 国际标准刊号：ISSN：1009-5896
  • 国内统一刊号：ISSN：11-4494/TN
  • 邮发代号:2-179
  • 获奖情况:
  • 国内外数据库收录:
  • 荷兰文摘与引文数据库,美国工程索引,美国剑桥科学文摘,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊（2004版）,中国北大核心期刊（2008版）,中国北大核心期刊（2011版）,中国北大核心期刊（2014版）
  • 被引量:24739