Direction-of-Arrival Estimation of Highly Correlated Signals by Applying Forward-Backward Averaging to the ESPRIT Algorithm for 7-Element ESPAR Antenna

2006 ◽  
Author(s):  
M. Pencole ◽  
E. Taillefer ◽  
T. Shimizu ◽  
M. Taromaru
Keyword(s):  
Direction Of Arrival ◽  
Direction Of Arrival Estimation ◽  
Highly Correlated ◽  
Esprit Algorithm ◽  
Correlated Signals

scholarly journals Robust Nonlinear Array Interpolation for Direction of Arrival Estimation of Highly Correlated Signals

2018 ◽  
Vol 144 ◽  
pp. 19-28 ◽  
Author(s):  
Marco A.M. Marinho ◽  
Felix Antreich ◽  
Stefano Caizzone ◽  
João Paulo C.L. da Costa ◽  
Alexey Vinel ◽  
...  
Keyword(s):  
Direction Of Arrival ◽  
Direction Of Arrival Estimation ◽  
Highly Correlated ◽  
Correlated Signals

scholarly journals Effect of varying Number of Spacing between Antenna Elements, Snapshots, SNR on AP ML, AP-SSF and ESPRIT Algorithm

2021 ◽  
Vol 11 ◽  
pp. 143-150
Author(s):  
Vinod Kumar ◽  
Sanjeev Kumar Dhull
Keyword(s):  
Signal Processing ◽  
Maximum Likelihood ◽  
Key Words ◽  
Array Signal Processing ◽  
Direction Of Arrival ◽  
Performance Comparison ◽  
Direction Of Arrival Estimation ◽  
Multiple Sources ◽  
Alternating Projection ◽  
Esprit Algorithm

The direction of arrival estimation is the main key problem in array signal processing. In this paper, the alternating projection maximum Likelihood (AP-ML), Alternating projection sub space framework (APSSF) and ESPRIT algorithm are studied. The simulation is performed in MATLAB for single and multiple sources. The effect of the varying number of spacing between antenna elements, number of snapshots and SNR are studied. The performance comparison shows that ESPRIT algorithm performs better as compared to the AP-ML and AP-SSF. Key-Words: - AP-ML, AP-SSF, Direction of Arrival, ESPRIT, Snapshots, SNR

scholarly journals Direction of Arrival Estimation Accuracy Enhancement via Using Displacement Invariance Technique

2015 ◽  
Vol 2015 ◽  
pp. 1-10
Author(s):  
Youssef Fayad ◽  
Caiyun Wang ◽  
Qunsheng Cao ◽  
Alaa El-Din Sayed Hafez
Keyword(s):  
Performance Enhancement ◽  
Doppler Frequency ◽  
Direction Of Arrival ◽  
Estimation Accuracy ◽  
Direction Of Arrival Estimation ◽  
Target Movement ◽  
Nonlinearity Effect ◽  
Esprit Algorithm ◽  
Cramer Rao Bound ◽  
Better Than

A new algorithm for improving Direction of Arrival Estimation (DOAE) accuracy has been carried out. Two contributions are introduced. First, Doppler frequency shift that resulted from the target movement is estimated using the displacement invariance technique (DIT). Second, the effect of Doppler frequency is modeled and incorporated into ESPRIT algorithm in order to increase the estimation accuracy. It is worth mentioning that the subspace approach has been employed into ESPRIT and DIT methods to reduce the computational complexity and the model’s nonlinearity effect. The DOAE accuracy has been verified by closed-form Cramér-Rao bound (CRB). The simulation results of the proposed algorithm are better than those of the previous estimation techniques leading to the estimator performance enhancement.

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