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Effect of varying Number of Spacing between Antenna Elements, Snapshots, SNR on AP ML, AP-SSF and ESPRIT Algorithm
Author(s) -
Vinod Kumar,
Sanjeev Kumar Dhull
Publication year - 2021
Publication title -
wseas transactions on electronics/wseas transactions on electronics
Language(s) - English
Resource type - Journals
eISSN - 2415-1513
pISSN - 1109-9445
DOI - 10.37394/232017.2020.11.17
Subject(s) - antenna (radio) , key (lock) , algorithm , projection (relational algebra) , matlab , computer science , maximum likelihood , signal (programming language) , antenna array , direction of arrival , mathematics , telecommunications , statistics , computer security , programming language , operating system
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

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