Spectrum blind reconstruction and direction of arrival estimation at sub-Nyquist sampling rates with uniform linear array

2015 ◽  
Author(s):  
A Anil Kumar ◽  
Sirajudeen Gulam Razul ◽  
Chong-Meng Samson See
Keyword(s):  
Linear Array ◽  
Direction Of Arrival ◽  
Direction Of Arrival Estimation ◽  
Uniform Linear Array ◽  
Blind Reconstruction

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.

scholarly journals DOA Estimation on Non-Uniform Linear Array using Extended Kalman Filter

2019 ◽  
Vol 9 (1) ◽  
pp. 6309-6311
Keyword(s):  
Kalman Filter ◽  
Extended Kalman Filter ◽  
Linear Array ◽  
Direction Of Arrival ◽  
Doa Estimation ◽  
Direction Of Arrival Estimation ◽  
Uniform Linear Array

This paper presents the performance of the Direction of Arrival estimation for Uniform and Non-Uniform Linear Array using Extended Kalman Filter. A Non-Uniform Linear Array with a specified array arrangement can estimate the signal's DOA and gives better accuracy and resolution as compared to Uniform Linear Array.

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