锥面共形阵列极化-DOA估计的降维MUSIC算法
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(哈尔滨工业大学(威海)信息与电气工程学院, 山东 威海 264209)

作者简介:

刘帅(1980—),男,博士,副教授; 金铭(1968—),男,教授,博士生导师

通讯作者:

刘帅, liu_shuai_boy@163.com

中图分类号:

TN911.7

基金项目:

中央高校基本科研业务费专项资金(HIT.NSRIF.201724)


Polarization-DOA estimation for conical conformal array based on dimension reduced MUSIC
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(School of Information and Electrical Engineering, Harbin Institute of Technology (Weihai), Weihai 264209,Shangdong, China)

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    摘要:

    针对传统MUSIC (multiple signal classification) 算法在锥面共形阵列极化-DOA (direction of arrival) 参数联合估计过程中计算复杂度较高的问题,利用单极化阵元构造极化敏感锥面共形阵列,并建立阵列接收信号模型.通过构造同极化接收子阵,将导向矢量中空域信息和极化域信息去“耦合”,在考虑阵元遮挡效应的条件下,结合秩损原理实现了基于降维MUSIC算法的极化-DOA多参数估计,减小了极化-DOA参数估计的计算量.通过计算机仿真证明了方法的有效性.

    Abstract:

    Focusing on the problem of high computation complexity of MUSIC algorithm which is used for joint polarization-DOA estimation of conical conformal array, the signal model of conical conformal array is established and is built by single polarizative elements. Through the building of same polarizative sub-array, the polarization and DOA information of steering vector is de-coupled, considering the shadow effectors of conformal array, dimension reduced MUSIC is derived by rank reduction theory, which realizes polarization-DOA estimation by less computation complexity. The method has been verified by computer simulations.

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刘帅,韩勇,闫锋刚,金铭.锥面共形阵列极化-DOA估计的降维MUSIC算法[J].哈尔滨工业大学学报,2017,49(5):36. DOI:10.11918/j. issn.0367-6234.201607115

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  • 收稿日期:2016-07-28
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  • 在线发布日期: 2017-05-10
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