基于MUSIC算法的L型阵列MIMO雷达降维DOA估计
doi: 10.3724/SP.J.1146.2013.01281
Reduced-dimensional DOA Estimation Based on MUSIC Algorithm in MIMO Radar with L-shaped Array
-
摘要: 该文提出一种基于MUSIC算法的L型阵列多输入多输出雷达降维波达方向(DOA)估计算法。该算法首先针对L型阵列导向矢量的结构，构造出一个降维矩阵，将回波信号转换到低维空间。然后利用二次优化方法将2维DOA估计分解为两个1维DOA估计。最后利用MUSIC空间谱估计其中1维角度，并利用求得的角度回代谱函数，对另1维角度进行求根估计。该算法将2维空间谱搜索降为1维搜索，极大地降低了运算复杂度。理论分析和仿真结果验证了该算法的准确性和可行性。Abstract: A reduced-dimensional Direction Of Arrival (DOA) estimation method in monostatic MIMO radar with L-shaped array based on MUSIC algorithm is proposed. Firstly, considering of the steering vector of L-shaped array, a reduced-dimensional matrix is employed to transform the data matrix into a low dimensional space. Then the quadratic optimization algorithm is utilized to decompose two-dimensional (2-D) DOA estimation into two one-dimensional (1-D) DOA estimation. Finally, one of the two angles is estimated by MUSIC spatial spectrum, then the other angle is estimated by Root-MUSIC method with the spatial spectrum function. The proposed method which only requires 1-D search, can greatly avoid the high computational cost within 2-D MUSIC algorithm. Simulation results verify its correctness and feasibility.
-
Key words:
- MIMO radar /
- L-shaped array /
- Reduced-dimensional MUSIC /
- Low complexity
期刊类型引用(7)
1. 孙玉，刘贵全. 基于HOG与LBP特征的人脸识别方法. 计算机工程. 2015(09): 205-208+214 . 
百度学术2. 杜春，邹焕新，孙即祥，周石琳，赵晶晶. 基于改进局部切空间排列的流形学习算法. 电子与信息学报. 2014(02): 277-284 . 
本站查看3. 潘锋. 最小化总投影误差优化一元回归分类的人脸识别. 计算机应用与软件. 2014(07): 186-190 . 百度学术4. 邵丹. 基于LTS优化图像切边LRC的面部遮挡人脸识别研究. 科学技术与工程. 2014(18): 99-104 . 百度学术5. 池义勇. 基于表示的简单快速人脸识别方法. 电视技术. 2013(17): 163-166 . 百度学术6. 蒋科辉，王宇东，余红山. 基于局部约束字典学习的非线性降维人脸识别. 科学技术与工程. 2013(35): 10531-10537 . 百度学术7. 廖建锋，王志忠. 基于相似性约束的面部幻象在人脸识别中的应用. 科学技术与工程. 2013(35): 10538-10543 . 百度学术其他类型引用(9)
-
百度学术
计量
- 文章访问数: 2725
- HTML全文浏览量: 141
- PDF下载量: 1395
- 被引次数: 16
下载:
