Details

Autor(en) / Beteiligte

• Tian, Zhen
• Zhu, Qile
• Fang, Shun
• Wu, Qi
• Wu, Shiqian

Titel

DOA Estimation via Adaptive Weighted Truncated Nuclear Norm

Ist Teil von

• 2023 35th Chinese Control and Decision Conference (CCDC), 2023, p.5373-5378

Ort / Verlag

IEEE

Erscheinungsjahr

2023

Quelle

IEEE Explore

Beschreibungen/Notizen

• Aiming at the large error of traditional direction-of-arrival (DOA) estimation algorithm caused by the low signal-to-ratio and limited sampling. This paper proposes a DOA estimation method based on adaptive weighted truncation nuclear norm. First, a new model which combines γ norm and adaptive weighted nuclear norm is proposed to accurately reconstruct the received signal covariance matrix into a low-rank covariance matrix and a sparse covariance matrix. Next, the generalized alternating direction method of multipliers (GADMM) with an adaptive stopping criterion is used to solve this convex optimization. Finally, based on the reconstructed low-rank noise-free covariance matrix, a multiple signal classification (MUSIC) algorithm is used to achieve DOA estimation. The simulation results are provided to verify the effectiveness and superiority of the proposed method.