A New Method to Calculate Complex Cramer-Rao Bound for Two-Dimensional Direction-of-Arrival Estimation with Multiple Measurement Vectors

被引：0
|
作者：
Han, Lin [1 ]
Huang, Di [1 ]
Li, Hanxu [1 ]
Zhu, Xian [1 ]
机构：
[1] Hangzhou Appl Acoust Res Inst, Res Dept 2, Hangzhou, Peoples R China
来源：
2022 3RD INFORMATION COMMUNICATION TECHNOLOGIES CONFERENCE (ICTC 2022) | 2022年
关键词：
Cramer-Rao bound (CRB); Fisher information matrix(FIM); multiple measurement vector (MMV); two-dimensional direction-of-arrival (2D-DOA); LINE SPECTRUM ESTIMATION; PARAMETER-ESTIMATION; MAXIMUM-LIKELIHOOD; MUSIC; MODEL;
D O I：
10.1109/ICTC55111.2022.9778675
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A new method to calculate the complex Fisher information matrix (FIM) and the Cram'er-Rao bound (CRB) is proposed for two-dimensional direction-of-arrival (2D-DOA) with multiple measurement vectors (MMVs). The detailed theoretic calculation process is presented in the text. Finally, numerical results are conducted not only to verify accuracy of the theoretical result by comparing against another method to calculate complex CRB, but also to demonstrate the effectiveness of CRB as the performance metric.
引用
收藏
页码：151 / 155
页数：5
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