LIU Shuai, HAN Yong, YAN Fenggang, et al. Polarization-DOA estimation for conical conformal array based on dimension reduced MUSIC[J]. 2017, 49(5): 2017-5.
DOI:
LIU Shuai, HAN Yong, YAN Fenggang, et al. Polarization-DOA estimation for conical conformal array based on dimension reduced MUSIC[J]. 2017, 49(5): 2017-5.DOI: 10.11918/j.issn.0367-6234.201607115.
Polarization-DOA estimation for conical conformal array based on dimension reduced MUSIC
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.