一种脉冲噪声下鲁棒原子范数最小化的DOA估计方法、程序、设备及存储介质
By constructing a robust atomic norm minimization model and the ADMM algorithm, the problem of insufficient robustness of existing DOA estimation methods in impulse noise environments is solved, and high-precision, high-resolution DOA estimation is achieved, which is suitable for orientation estimation in array signal processing.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HARBIN ENGINEERING UNIVERSITY SANYA NANHAI INNOVATION & DEVELOPMENT BASE
- Filing Date
- 2026-05-09
- Publication Date
- 2026-07-17
AI Technical Summary
Existing DOA estimation methods based on minimizing the atomic norm are not robust enough in impulse noise environments, causing the estimation results to deviate from the true angle and the accuracy to decrease, especially under non-Gaussian, heavy-tailed, and impulse noise conditions, the performance of which is significantly reduced.
A robust atomic norm minimization model based on norm data fidelity terms is constructed. The residual matrix and positive semidefinite auxiliary variables are introduced, and the ADMM algorithm is used for iterative solution. The Toeplitz mapping and soft thresholding operator are used to suppress outliers and improve the robustness of the model in the impulsive noise environment.
Under conditions of low signal-to-noise ratio, low snapshot number, and strong impulse noise, high-precision and high-resolution DOA estimation is achieved, which significantly improves robustness and estimation accuracy in non-Gaussian impulse noise environments, reduces computational complexity, and meets real-time requirements.
Smart Images
Figure CN122153231B_ABST