Space-Time Matrix Method for Joint Frequency and 2-D DOA Estimation

2009 ◽  
Author(s):  
Ruiyan Du ◽  
Jinkuan Wang ◽  
Fulai Liu
Keyword(s):  
Matrix Method ◽  
Doa Estimation ◽  
Space Time ◽  
Joint Frequency

A Real-Valued Toeplitz Matrix Method for DOA Estimation

2020 ◽  
Vol 43 (4) ◽  
pp. 350-356
Author(s):  
Jianxiong Li ◽  
Deming Li ◽  
Xianguo Li
Keyword(s):  
Toeplitz Matrix ◽  
Matrix Method ◽  
Doa Estimation

Extended DOA-Matrix Method for DOA Estimation via Two Parallel Linear Arrays

2019 ◽  
Vol 23 (11) ◽  
pp. 1981-1984 ◽  
Author(s):  
Xiangrui Dai ◽  
Xiaofei Zhang ◽  
Yunfei Wang
Keyword(s):  
Matrix Method ◽  
Doa Estimation ◽  
Linear Arrays

scholarly journals Estimation of Interference Arrival Direction Based on a Novel Space-Time Conversion MUSIC Algorithm for GNSS Receivers

Sensors ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 2570 ◽  
Author(s):  
Hao Wang ◽  
Qing Chang ◽  
Yong Xu ◽  
Xianxu Li
Keyword(s):  
Doa Estimation ◽  
Space Time ◽  
Variable Step Size ◽  
Arrival Direction ◽  
Music Algorithm ◽  
Step Size ◽  
Multiple Signal Classification ◽  
Variable Step ◽  
Gnss Receivers ◽  
Interference Signals

In the estimation of the direction of arrival (DOA) for interference signals, the direction-finding error of the multiple signal classification (MUSIC) algorithm will increase in the case of multiple interferences or when the interfering signal power is weak. In this paper, a space-time conversion MUSIC (STC-MUSIC) algorithm is proposed, and the concept of a focusing parameter is introduced to improve the performance of the DOA estimation. Meanwhile, a method of variable step size peak search is proposed to reduce the amount of calculation of the STC-MUSIC algorithm. The final simulation and experimental results show that the STC-MUSIC algorithm improves the purity of the noise subspace effectively, thus improving the precision and robustness of the DOA estimation for interference signals significantly. In comparison to traditional algorithms, the convergence, stability, root mean square error (RMSE) and other performance characteristics are improved greatly.

High‐resolution DOA estimation for cooperation networks using space‐time hopping

2016 ◽  
Vol 52 (11) ◽  
pp. 978-980 ◽  
Author(s):  
Xiangyu Li ◽  
Suxia Guo ◽  
Liang Jin ◽  
Kaizhi Huang ◽  
Lu Xia
Keyword(s):  
High Resolution ◽  
Doa Estimation ◽  
Space Time ◽  
Time Hopping

scholarly journals Joint Estimation of 2D-DOA and Frequency Based on Space-Time Matrix and Conformal Array

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Liang-Tian Wan ◽  
Lu-Tao Liu ◽  
Wei-Jian Si ◽  
Zuo-Xi Tian
Keyword(s):  
Estimation Algorithm ◽  
Doa Estimation ◽  
Joint Estimation ◽  
Conformal Array ◽  
Joint Frequency ◽  
Estimate Frequency ◽  
Performance Deterioration ◽  
2D Doa Estimation ◽  
Parallel Factor ◽  
Suppress Noise

Each element in the conformal array has a different pattern, which leads to the performance deterioration of the conventional high resolution direction-of-arrival (DOA) algorithms. In this paper, a joint frequency and two-dimension DOA (2D-DOA) estimation algorithm for conformal array are proposed. The delay correlation function is used to suppress noise. Both spatial and time sampling are utilized to construct the spatial-time matrix. The frequency and 2D-DOA estimation are accomplished based on parallel factor (PARAFAC) analysis without spectral peak searching and parameter pairing. The proposed algorithm needs only four guiding elements with precise positions to estimate frequency and 2D-DOA. Other instrumental elements can be arranged flexibly on the surface of the carrier. Simulation results demonstrate the effectiveness of the proposed algorithm.

scholarly journals Accurate Direction-of-Arrival Estimation Method based on Space-Time Modulated Metasurface

2022 ◽  
Author(s):  
Mengmeng Li
Keyword(s):  
Plane Wave ◽  
Incident Angle ◽  
Estimation Method ◽  
Time Estimation ◽  
Direction Of Arrival ◽  
Doa Estimation ◽  
Space Time ◽  
Estimation Methods ◽  
Estimation Accuracy ◽  
Hardware Complexity

In this paper, we present a metasurface-based Direction of Arrival (DoA) estimation method that exploits the properties of space-time modulated reflecting metasurfaces to estimate in real-time the impinging angle of an illuminating monochromatic plane wave. The approach makes use of the amplitude unbalance of the received fields at broadside at the frequencies of the two first-order harmonics generated by the interaction between the incident plane wave and the modulated metasurface. Here, we first describe analytically how to generate the desired higher-order harmonics in the reflected spectrum and how to realize the breaking of the spatial symmetry of each order harmonic scattering pattern. Then, the one dimensional (1D) omnidirectional incident angle can be analytically computed using +1st and -1st order harmonics. The approach is also extended to 2D DoA estimation by using two orthogonally arranged 1D DoA modulation arrays. The accuracy of 1D DoA estimation is verified through full-wave numerical simulations. Compared to conventional DoA estimation methods, the proposed approach simplifies the computation and hardware complexity, ensuring at the same time estimation accuracy. The proposed method may have potential applications in wireless communications, target recognition, and identification.

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