Robust DOA estimation and array calibration in the presence of mutual coupling for uniform linear array

2004 ◽  
Vol 47 (3) ◽  
pp. 348 ◽  
Author(s):  
Buhong WANG
Keyword(s):  
Mutual Coupling ◽  
Linear Array ◽  
Doa Estimation ◽  
Uniform Linear Array ◽  
Array Calibration

scholarly journals Compressed Sensing-Based DOA Estimation with Unknown Mutual Coupling Effect

Electronics ◽  
2018 ◽  
Vol 7 (12) ◽  
pp. 424 ◽  
Author(s):  
Peng Chen ◽  
Zhenxin Cao ◽  
Zhimin Chen ◽  
Linxi Liu ◽  
Man Feng
Keyword(s):  
Compressed Sensing ◽  
Mutual Coupling ◽  
Linear Array ◽  
State Of The Art ◽  
Coupling Effect ◽  
Estimation Method ◽  
Doa Estimation ◽  
System Model ◽  
Reconstruction Problem ◽  
Uniform Linear Array

The performance of a direction-finding system is significantly degraded by the imperfection of an array. In this paper, the direction-of-arrival (DOA) estimation problem is investigated in the uniform linear array (ULA) system with the unknown mutual coupling (MC) effect. The system model with MC effect is formulated. Then, by exploiting the signal sparsity in the spatial domain, a compressed-sensing (CS)-based system model is proposed with the MC coefficients, and the problem of DOA estimation is converted into that of a sparse reconstruction. To solve the reconstruction problem efficiently, a novel DOA estimation method, named sparse-based DOA estimation with unknown MC effect (SDMC), is proposed, where both the sparse signal and the MC coefficients are estimated iteratively. Simulation results show that the proposed method can achieve better performance of DOA estimation in the scenario with MC effect than the state-of-the-art methods, and improve the DOA estimation performance about 31.64 % by reducing the MC effect by about 4 dB.

A Sparse-Based Approach for DOA Estimation and Array Calibration in Uniform Linear Array

2016 ◽  
Vol 16 (15) ◽  
pp. 6018-6027 ◽  
Author(s):  
Hongqing Liu ◽  
Luming Zhao ◽  
Yong Li ◽  
Xiaorong Jing ◽  
Trieu-Kien Truong
Keyword(s):  
Linear Array ◽  
Doa Estimation ◽  
Uniform Linear Array ◽  
Array Calibration

Mutual Coupling Compensation in Receiving Arrays and Its Implementation on Software Defined Radios

2021 ◽  
Vol 35 (11) ◽  
pp. 1433-1434
Author(s):  
Sana Khan ◽  
Hassan Sajjad ◽  
Mehmet Ozdemir ◽  
Ercument Arvas
Keyword(s):  
Real Time ◽  
Mutual Coupling ◽  
Linear Array ◽  
Incident Angle ◽  
Direction Of Arrival ◽  
Doa Estimation ◽  
Substantial Improvement ◽  
Uniform Linear Array ◽  
Low Snr ◽  
Software Defined Radios

Mutual coupling is compensated in a four element uniform linear receiving array using software defined radios. Direction of arrival (DoA) is estimated in real-time for the array with spacing d=lambda/4. The decoupling matrix was measured using a VNA for only one incident angle. After compensation the error in DoA estimation was reduced to 5%. Comparing the DoA results with d=lambda/2 spaced Uniform Linear Array (ULA), 1.2% error was observed. Although, the experiment was performed indoors with a low SNR, the results show a substantial improvement in the estimated DoA after compensation.

Real-valued DOA estimation for uniform linear array with unknown mutual coupling

2012 ◽  
Vol 92 (9) ◽  
pp. 2056-2065 ◽  
Author(s):  
Jisheng Dai ◽  
Weichao Xu ◽  
Dean Zhao
Keyword(s):  
Mutual Coupling ◽  
Linear Array ◽  
Doa Estimation ◽  
Uniform Linear Array

DOA Estimation for Uniform Linear Array with Mutual Coupling

2009 ◽  
Vol 45 (1) ◽  
pp. 280-288 ◽  
Author(s):  
Zhongfu Ye ◽  
Jisheng Dai ◽  
Xu Xu ◽  
Xiaopei Wu
Keyword(s):  
Mutual Coupling ◽  
Linear Array ◽  
Doa Estimation ◽  
Uniform Linear Array

Comparison between DOA Estimation Subspace methods for incoherent and coherent signals

2015 ◽  
Vol 1 ◽  
pp. 18
Author(s):  
Ahmed Abdalla ◽  
Suhad Mohammed ◽  
Tang Bin ◽  
Jumma Mary Atieno ◽  
Abdelazeim Abdalla
Keyword(s):  
Linear Array ◽  
Doa Estimation ◽  
Far Field ◽  
Matlab Simulation ◽  
Subspace Methods ◽  
Coherent Signals ◽  
Uniform Linear Array ◽  
Pros And Cons ◽  
Basic Concepts ◽  
And Performance

This paper considers the problem of estimating the direction of arrival (DOA) for the both incoherent and coherent signals from narrowband sources, located in the far field in the case of uniform linear array sensors. Three different methods are analyzed. Specifically, these methods are Music, Root-Music and ESPRIT. The pros and cons of these methods are identified and compared in light of different viewpoints. The performance of the three methods is evaluated, analytically, when possible, and by Matlab simulation. This paper can be a roadmap for beginners in understanding the basic concepts of DOA estimation issues, properties and performance.

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