[PDF][PDF] 稀疏贝叶斯字典学习空时机动目标参数估计算法

章涛, 张亚娟, 孙刚, 罗其俊 - 电子与信息学报, 2022 - jeit.ac.cn
针对基于稀疏恢复的空时自适应处理(STAP) 目标参数估计方法中字典失配导致估计性能下降的
问题, 该文提出一种基于稀疏贝叶斯字典学习的高精度目标参数估计方法. 该方法首先通过目标 …

Multi-difference beams adaptive iterative monopulse estimation method for airborne radar

Y Xiong, W Xie - Digital Signal Processing, 2022 - Elsevier
In the process of airborne radar parameters estimation, on the one hand, the adaptive sum
and difference beam will be distorted near the main lobe clutter region; on the other hand …

Maneuvering target parameter estimation based on sparse Bayesian dictionary learning in space-time adaptive processing

T ZHANG, Y ZHANG, G SUN, Q LUO - 电子与信息学报, 2022 - jeit.ac.cn
A sparse Bayesian dictionary learning-based parameter estimation method is proposed to
overcome the performance degradation in presence of dictionary mismatch in Space-Time …

Pulse Doppler radar with antenna arrays estimating angular velocity

T Yamaoka, T Oshima - IEICE Transactions on …, 2024 - ieeexplore.ieee.org
Radar provides information on target distance, direction, and velocity, but not directly on
angular velocity. We study signal processing for estimating angular velocity directly by radar …

Multiprobe Radiation Simulation Method for Phased Array Radar Performance Evaluation

R Xu, X He, Y Yang, H Yao, Q Wu - IEEE Access, 2022 - ieeexplore.ieee.org
The phased array radar exhibits improved tracking accuracy and anti-jamming performance
with multi-beam tracking, beam agility, and adaptive beam-forming capabilities. The …

Parameter Estimation of Rapidly Moving Sources Using Planar Array and MLE

W Montlouis - 2022 45th International Conference on …, 2022 - ieeexplore.ieee.org
Planar array of antennas allows us to resolve a point source in both azimuth and elevation.
Unfortunately, extracting the angular information from a planar is often a lot more difficult …

DOAV Estimation Using Non-Linear Least Squares and ULA

W Montlouis - 2021 IEEE 4th 5G World Forum (5GWF), 2021 - ieeexplore.ieee.org
The Maximum Likelihood Estimate (MLE) is the optimum beamformer when the noise
distribution is white Gaussian. But in practice, the background noise hardly follows this …