|本期目录/Table of Contents|

[1]陈 浩,王 琼*. 双基地MIMO雷达多参数联合估计及目标三维定位[J].南京大学学报(自然科学),2017,53(3):434.[doi:10.13232/j.cnki.jnju.2017.03.008]
 Chen Hao,Wang Qiong*. Multiple parameter estimation and three­dimensional localization for bistatic MIMO radar[J].Journal of Nanjing University(Natural Sciences),2017,53(3):434.[doi:10.13232/j.cnki.jnju.2017.03.008]
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 双基地MIMO雷达多参数联合估计及目标三维定位()
     

《南京大学学报(自然科学)》[ISSN:0469-5097/CN:32-1169/N]

卷:
53
期数:
2017年第3期
页码:
434
栏目:
出版日期:
2017-06-01

文章信息/Info

Title:
 Multiple parameter estimation and three­dimensional localization for bistatic MIMO radar
作者:
 陈 浩12王 琼1*
 1.南京大学电子科学与工程学院,南京,210023;2.安徽师范大学物理与电子信息学院,芜湖,241002
Author(s):
 Chen Hao12Wang Qiong1*
 1.School of Electronics Science and Engineering,Nanjing University,Nanjing,210023,China;2.College of Physics and Electronic Information,Anhui Normal University,Wuhu,241002,China
关键词:
 双基地MIMO雷达均匀圆阵目标定位UCA­ESPRIT
Keywords:
 bistatic MIMO radaruniform circular arraylocalizationUCA­ESPRIT
分类号:
TP957.51
DOI:
10.13232/j.cnki.jnju.2017.03.008
文献标志码:
A
摘要:
 多输入多输出(Multiple­input multiple­output,MIMO)雷达具有波形分集、空间分集和极化分集等优势,在抗目标“闪烁”、反干扰、提高分辨力方面有很大的潜力.提出了一种双基地MIMO雷达多参数联合估计及目标三维定位方法.对接收信号的协方差矩阵作特征值分解,提取大特征值对应的特征矢量,构建选择矩阵,基于ESPRIT算法估计出目标的波达角.在求解均匀圆阵时,为将导向矢量中耦合的俯仰角和方位角分开,采用模式激励法解耦合,再分别利用UCA­MUSIC和UCA­ESPRIT算法估计目标俯仰角和波达角.基于MIMO雷达空间结构,利用估计到目标的俯仰角、发射角和波达角,计算得到目标的三维空间坐标信息.该算法可实现角度间的自动配对,可以有效识别同一距离单元内的多个目标.仿真实验表明,提出的估计方法估计精度高,处理速度快.
Abstract:
 Bearing estimation and localization are important aspects in radar signal processing.Multiple­input multiple­output(MIMO)radar exploits multiple antennas to transmit diversity waveforms and exploits multiple antennas to receive the signal reflected from the targets simultaneously,which has wide application prospects.MIMO radar has many advantages,such as waveform diversity,spatial diversity,and polarization diversity,thereby dramatically improve the performances of radar systems over the conventional phased arrays.A novel joint multiple parameter estimation and three­dimensional localization method for bistatic MIMO radar system is proposed.After the eigenvalue decomposition of the array output covariance matrix,rotated factor which contain the receive angle can be obtained by construct selection matrices.Based on the estimation of signal parameter via rotation invariance technique(ESPRIT)like algorithm,the direction of arrival(DOA)can be achieved.Owing to the steering vectors which contain the transmit elevation angle and azimuth are coupled with each other,the phase mode excitation method is used to do decoupling.In addition,we estimate the transmit elevation angle and azimuth by the uniform circular array multiple signal classification(UCA­MUSIC)and uniform circular array ESPRIT(UCA­ESPRIT)algorithm respectively.Compared with UCA­MUSIC algorithm,UCA­ESPRIT provides DOA estimates in closed­form with relatively low computational effort.Finally,based on the estimated angles,the three­dimensional(3­D)coordinates of the targets are calculated.The estimate angles can be paired automatically,and avoid additional pairing procedure.For the targets in the same range cell,the proposed algorithm can identify clearly.Simulation results show that the proposed method has the high accuracy and low complexity.

参考文献/References:

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备注/Memo

备注/Memo:
 基金项目:毫米波国家重点实验室开放课题(K201514),江苏省普通高校研究生科研创新计划(KYZZ16_0053)
收稿日期:2016-12-13
*通讯联系人,E­mail:wangqiong@nju.edu.cn
更新日期/Last Update: 2017-05-30