scholarly journals NOVEL BLIND JOINT DIRECTION OF ARRIVAL AND FREQUENCY ESTIMATION FOR UNIFORM LINEAR ARRAY

2008 ◽  
Vol 86 ◽  
pp. 199-215 ◽  
Author(s):  
Xiaofei Zhang ◽  
Dayuan Wang ◽  
Dazhuan Xu
Keyword(s):  
Linear Array ◽  
Frequency Estimation ◽  
Direction Of Arrival ◽  
Uniform Linear Array ◽  
Joint Direction

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.

scholarly journals Improved ESPRIT Method for Joint Direction-of-Arrival and Frequency Estimation Using Multiple-Delay Output

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Wang Xudong ◽  
Xiaofei Zhang ◽  
Jianfeng Li ◽  
Jinchao Bai
Keyword(s):  
Antenna Arrays ◽  
Frequency Estimation ◽  
Direction Of Arrival ◽  
Joint Angles ◽  
Linear Arrays ◽  
Estimation Performance ◽  
Multiple Delay ◽  
Joint Direction ◽  
Esprit Algorithm ◽  
Linear Antenna Arrays

An automatic pairing joint direction-of-arrival (DOA) and frequency estimation is presented to overcome the unsatisfactory performances of estimation of signal parameter via rotational invariance techniques- (ESPRIT-) like algorithm of Wang (2010), which requires an additional pairing. By using multiple-delay output of a uniform linear antenna arrays (ULA), the proposed algorithm can estimate joint angles and frequencies with an improved ESPRIT. Compared with Wang’s ESPRIT algorithm, the angle estimation performance of the proposed algorithm is greatly improved. The frequency estimation performance of the proposed algorithm is same with that of Wang’s ESPRIT algorithm. Furthermore, the proposed algorithm can obtain automatic pairing DOA and frequency parameters, and it has a comparative computational complexity in contrast to Wang’s ESPRIT algorithm. By the way, this proposed algorithm can also work well for nonuniform linear arrays. The useful behavior of this proposed algorithm is verified by simulations.

scholarly journals 2D Direction of Arrival Estimation for Cross Array in the Presence of Mutual Coupling

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Weiwei Hu ◽  
Aijun Zhang ◽  
Changming Wang
Keyword(s):  
Mutual Coupling ◽  
Linear Array ◽  
Direction Of Arrival ◽  
Direction Of Arrival Estimation ◽  
Two Dimensional ◽  
Uniform Linear Array ◽  
Cross Covariance ◽  
The Matrix ◽  
Two Parameters ◽  
The Relationship

This paper proposes a new method for cross array to estimate two-dimensional direction of arrival (2-D DOA) in the presence of mutual coupling. In this method, the array elements which are affected by the same mutual coupling are chosen onx-axis andz-axis, respectively. Then a new matrix is constructed with the proper entries of cross covariance matrix of the chosen elements outputs onx-axis andz-axis. Propagation method (PM) and rotational invariance techniques for uniform linear array (ULA) are utilized in the constructed matrix to obtain two parameters correlated with elevations and azimuths. While calculating and pairing the two parameters, only once eigendecomposing and several division operations are required with the relationship among the matrix, its eigenvalues, and corresponding eigenvectors. Simulations are presented to validate the performance of the proposed method.

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