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Joint Frequency and 2-D Angle Estimation Based On Vector Sensor Array with Sub-Nyquist Temporal Sampling

机译：基于亚奈奎斯特时间采样的矢量传感器阵列联合频率和二维角度估计

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Fung Carrson; Ji Fei; Kok C.W.; Kwong S.;
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年度 2008
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1. Real-time frequency and 2-D angle estimation with sub-Nyquist spatio-temporal sampling [J] . Zoltowski M.D., Mathews C.P. IEEE Transactions on Signal Processing . 1994,第10期

机译：亚奈奎斯特时空采样的实时频率和二维角度估计
2. Joint DOA and frequency estimation with sub-Nyquist sampling for more sources than sensors [J] . Liang Liu, Ping Wei Radar, Sonar & Navigation, IET . 2017,第12期

机译：联合DOA和频率估计以及次奈奎斯特采样，可提供比传感器更多的信号源
3. Phased-Array-Based Sub-Nyquist Sampling for Joint Wideband Spectrum Sensing and Direction-of-Arrival Estimation [J] . Feiyu Wang, Jun Fang, Huiping Duan, IEEE Transactions on Signal Processing . 2018,第23期

机译：基于相控阵的子奈奎斯特采样，用于联合宽带频谱感知和到达方向估计
4. JOINT FREQUENCY AND 2-D ANGLE ESTIMATION BASED ON VECTOR SENSOR ARRAY WITH SUB-NYQUIST TEMPORAL SAMPLING [C] . Fei Ji, Carrson C. Fung, Sam Kwong, European Signal Processing Conference . 2009

机译：基于矢量传感器阵列的关节频率和二维角度估计与子奈奎斯特时间采样
5. Matrix and Tensor-based ESPRIT Algorithm for Joint Angle and Delay Estimation in 2D Active Broadband Massive MIMO Systems AND Analysis of Direction of Arrival Estimation Algorithms for Basal Ice Sheet Tomography [D] . Zhu, Yi 2014

机译：基于矩阵和张量的ESPRIT算法在二维有源宽带大规模MIMO系统中的联合角和时延估计以及基础冰盖层析成像的到达方向估计算法分析
6. Estimation of 3D Knee Joint Angles during Cycling Using Inertial Sensors: Accuracy of a Novel Sensor-to-Segment Calibration Procedure Based on Pedaling Motion [O] . Sébastien Cordillet, Nicolas Bideau, Benoit Bideau, 2019

机译：使用惯性传感器估算骑车过程中的3D膝关节角度：基于踏板运动的新型传感器到段校准程序的准确性
7. Joint DOA and Frequency Estimation With Sub-Nyquist Sampling in the Sparse Array System [O] . Liang Liu, Ping Wei 2018

机译：稀疏阵列系统中子奈奎斯特采样的联合DOA和频率估计
8. Practical Sub-Nyquist Sampling via Array-Based Compressed Sensing Receiver Architecture. [R] . Bolstad, A. K., Suh, Y., Chisum, J. D., 2016

机译：通过基于阵列的压缩感应接收器架构进行实际的亚奈奎斯特采样。

Joint Frequency and 2-D Angle Estimation Based On Vector Sensor Array with Sub-Nyquist Temporal Sampling

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