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Modified PUMA/EPUMA Based on Forward and Backward Linear Prediction for DOA Estimation
被引：0
|作者：
Ma, Biyun
[1
,2
]
Zhu, Fu
[1
]
Wang, Yide
[3
]
Zhu, Qingqing
[1
,2
]
Liu, Jiaojiao
[1
,2
]
机构：
[1] South China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510640, Peoples R China
[2] Minist Nat Resources, Key Lab Marine Environm Survey Technol & Applicat, Guangzhou 510300, Peoples R China
[3] Nantes Univ, Inst Elect & Technol NumeR IETR, CNRS, UMR 6164, F-44306 Nantes, France
基金：
中国国家自然科学基金;
关键词：
Covariance matrices;
Eigenvalues and eigenfunctions;
Vectors;
Prediction algorithms;
Direction-of-arrival estimation;
Smoothing methods;
Simulation;
Signal to noise ratio;
Signal processing algorithms;
Sensor arrays;
Coherent sources;
direction-of-arrival (DOA) estimation;
forward and backward linear prediction (FBLP);
principal-singular-vector utilization for modal analysis (PUMA)/enhanced-PUMA (EPUMA);
OF-ARRIVAL ESTIMATION;
SIGNAL;
MODE;
PUMA;
D O I：
10.1109/LGRS.2025.3544068
中图分类号：
P3 [地球物理学];
P59 [地球化学];
学科分类号：
0708 ;
070902 ;
摘要：
The principal-singular-vector utilization for modal analysis (PUMA) and its modification (Mod-PUMA), which utilize forward linear prediction (FLP) to process the signal subspace, experience significant performance degradation if there are multiple coherent sources and such a performance degradation will be further aggravated in low-SNR regions, which is primarily attributed to the outliers arising from inaccurate estimations of the signal subspace. To address these issues, we propose an extension version of PUMA-related algorithms, called FBLP-Mod-PUMA/enhanced-PUMA (EPUMA). The proposed algorithms improve the threshold performance by refining the signal subspace through forward and backward linear prediction (FBLP), effectively mitigating subspace leakage when dealing with coherent sources. The number of resolvable coherent sources has been theoretically derived and simulation results are provided to show the performance of the proposed algorithms.
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页数：5
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