Gain-Phase Error Calculation in DOA Estimation for Mixed Wideband Signals

2018 ◽  
pp. 598-605
Author(s):  
Jiaqi Zhen ◽  
Yong Liu ◽  
Yanchao Li
Keyword(s):  
Phase Error ◽  
Doa Estimation ◽  
Error Calculation ◽  
Wideband Signals

Phase error calculation in a Fizeau interferometer by Fourier expansion of the intensity profile

1996 ◽  
Vol 35 (1) ◽  
pp. 61 ◽  
Author(s):  
B. V. Dorrío ◽  
J. Blanco-García ◽  
C. López ◽  
A. F. Doval ◽  
R. Soto ◽  
...  
Keyword(s):  
Fourier Expansion ◽  
Phase Error ◽  
Intensity Profile ◽  
Fizeau Interferometer ◽  
Error Calculation

Underdetermined DOA Estimation for Wideband Signals via Joint Sparse Signal Reconstruction

2019 ◽  
Vol 26 (10) ◽  
pp. 1541-1545 ◽  
Author(s):  
Yunmei Shi ◽  
Xing-Peng Mao ◽  
Chunlei Zhao ◽  
Yong-Tan Liu
Keyword(s):  
Signal Reconstruction ◽  
Doa Estimation ◽  
Sparse Signal ◽  
Sparse Signal Reconstruction ◽  
Wideband Signals

Super-Resolution DOA Estimation for Wideband Signals Using Non-Uniform Linear Arrays with No Focusing Matrix

2021 ◽  
pp. 1-1
Author(s):  
Milad Javadzadeh Jirhandeh ◽  
Hoomaan Hezaveh ◽  
Mohammad Hossein Kahaei
Keyword(s):  
Super Resolution ◽  
Doa Estimation ◽  
Linear Arrays ◽  
Wideband Signals

DOA estimation Of Underwater Wideband Signals based on Improved OMP method

2019 ◽  
Author(s):  
Zigao Li ◽  
Shuqiu Li ◽  
Jidong Jia ◽  
Donghao Ju
Keyword(s):  
Doa Estimation ◽  
Wideband Signals

scholarly journals Sparsity-Based DOA Estimation with Gain and Phase Error Calibration of Generalized Nested Array

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Ziang Feng ◽  
Guoping Hu ◽  
Hao Zhou
Keyword(s):  
Degrees Of Freedom ◽  
Phase Error ◽  
Doa Estimation ◽  
Model Errors ◽  
Multiple Sources ◽  
Sparse Arrays ◽  
Estimation Algorithms ◽  
Phase Errors ◽  
Representation Method ◽  
Cramer Rao Bound

Sparse arrays, which can localize multiple sources with less physical sensors, have attracted more attention since they were proposed. However, for optimal performance of sparse arrays, it is usually assumed that the circumstances are ideal. But in practice, the performance of sparse arrays will suffer from the model errors like mutual coupling, gain and phase error, and sensor’s location error, which causes severe performance degradation or even failure of the direction of arrival (DOA) estimation algorithms. In this study, we follow with interest and propose a covariance-based sparse representation method in the presence of gain and phase errors, where a generalized nested array is employed. The proposed strategy not only enhances the degrees of freedom (DOFs) to deal with more sources but also obtains more accurate DOA estimations despite gain and phase errors. The Cramer–Rao bound (CRB) derivation is analyzed to demonstrate the robustness of the method. Finally, numerical examples illustrate the effectiveness of the proposed method from DOA estimation.

Off-grid DoA estimation method of wideband signals

2020 ◽  
Vol 33 (14) ◽  
pp. e4466
Author(s):  
Yasoub Eghbali ◽  
Mahmoud Ferdosizade Naeiny
Keyword(s):  
Estimation Method ◽  
Doa Estimation ◽  
Wideband Signals

Coherentl1-SVD method for DOA estimation of wideband signals

2013 ◽  
Vol 9 (1) ◽  
pp. 97-99 ◽  
Author(s):  
Mahmoud Atashbar ◽  
Mohammad Hossein Kahaei
Keyword(s):  
Doa Estimation ◽  
Wideband Signals ◽  
Svd Method

DOA estimation of correlated wideband signals by using multi-band EM algorithm

2014 ◽  
Author(s):  
Hiroyoshi Yamada ◽  
Satoshi Shirai ◽  
Toshihiko Nishimura ◽  
Yasutaka Ogawa ◽  
Takeo Ohgane ◽  
...  
Keyword(s):  
Em Algorithm ◽  
Doa Estimation ◽  
Wideband Signals ◽  
Multi Band

Underdetermined DOA Estimation for Wideband Signals Using Robust Sparse Covariance Fitting

2015 ◽  
Vol 22 (4) ◽  
pp. 435-439 ◽  
Author(s):  
Zhen-Qing He ◽  
Zhi-Ping Shi ◽  
Lei Huang ◽  
Hing Cheung So
Keyword(s):  
Doa Estimation ◽  
Wideband Signals
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