scholarly journals Adaptive Direction-of-Arrival Estimation in Array Signal Processing

2004 ◽  
Vol 2004 (0) ◽  
pp. 223-228
Author(s):  
Jingmin Xin ◽  
Akira Sano
Keyword(s):  
Signal Processing ◽  
Array Signal Processing ◽  
Direction Of Arrival ◽  
Direction Of Arrival Estimation

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

A Graph Signal Processing Approach to Direction of Arrival Estimation

2019 ◽  
Author(s):  
Leandro A. S. Moreira ◽  
Antonio L. L. Ramos ◽  
Marcello L. R. de Campos ◽  
Jose A. Apolinario ◽  
Felipe G. Serrenho
Keyword(s):  
Signal Processing ◽  
Direction Of Arrival ◽  
Direction Of Arrival Estimation ◽  
Graph Signal Processing ◽  
Processing Approach

Direction of Arrival Estimation using Advanced Signal Processing

2007 ◽  
Author(s):  
Marshall Grice ◽  
Jeff Rodenkirch ◽  
Anatoly Yakovlev ◽  
H. K. Hwang ◽  
Zekeriya Aliyazicioglu ◽  
...  
Keyword(s):  
Signal Processing ◽  
Direction Of Arrival ◽  
Direction Of Arrival Estimation

scholarly journals DOA Estimation of Wideband Cyclic MUSIC Algorithm under Rayleigh Fading Environment in MIMO Systems

2020 ◽  
Vol 9 (1) ◽  
pp. 1834-1837
Keyword(s):  
High Resolution ◽  
Rayleigh Fading ◽  
Array Signal Processing ◽  
Mimo Systems ◽  
Direction Of Arrival ◽  
Estimation Algorithm ◽  
Doa Estimation ◽  
Mimo Radar ◽  
Direction Of Arrival Estimation ◽  
Music Algorithm

Direction of arrival (DOA) estimation has, for quite some time been a challenging situation in most of the wireless communication applications, radar and sonar. The resolution of the direction of arrival estimation can be increased using the help of array signal processing. The performance of the direction of arrival estimation for multiple input multiple output(MIMO) radar systems has been reviewed for cyclic Multiple Signal Classification(MUSIC), extended cyclic MUSIC and Wideband cyclic MUSIC under Rayleigh fading environment. MUSIC and its variants have been taken into consideration for the analysis as these have been a very good parameter estimation technique due its low cost, high resolution and stability. Direction of Arrival estimation clubbed with cyclostationarity has been included into the new algorithm because of its immunity to noise and interference. The new algorithm along with cyclic correlations when applied to these signals, improves the performance of the entire system substantially. The performance of this wideband cyclic MUSIC high resolution direction of arrival estimation algorithm over the Rayleigh fading is analyzed in this paper. The simulation results citing the three methods show the performance of these methods in presence of the fading environments.

Estimation of direction of arrival (DOA) using real-time Array Signal Processing

2008 ◽  
Author(s):  
Md. Shahedul Amin ◽  
Ahmed-Ur-Rahman ◽  
Saabah-Bin-Mahbub ◽  
Khawza I. Ahmed ◽  
Zahidur Rahim Chowdhury
Keyword(s):  
Signal Processing ◽  
Real Time ◽  
Array Signal Processing ◽  
Direction Of Arrival
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