Enhanced Direction of Arrival Estimation via Fast Sensor Array Processing

The subspace-based methods are widely studied for target detection and localization. Nonetheless, the most of the methods exploit the complete sensor array to get the noise subspace which pilots a heavy computational burden. The most of the target detection methods endure either a heavy computationa...

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Bibliographic Details
Published in:IEEE sensors letters 2023-06, Vol.7 (6), p.1-4
Main Authors: D, Veerendra, Umesh, B. N., Nagabushanam, M., B, Ravindra Babu
Format: Article
Language:English
Subjects:
Array signal processing
Direction of arrival
Direction-of-arrival estimation
ESPRIT
Estimation
Localization
Location awareness
MUSIC
Narrowband
Nystro¨ m
root-MUSIC
Sensor arrays
Sensors
Signal to noise ratio
Subspaces
Target detection
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Summary:The subspace-based methods are widely studied for target detection and localization. Nonetheless, the most of the methods exploit the complete sensor array to get the noise subspace which pilots a heavy computational burden. The most of the target detection methods endure either a heavy computational burden or low resolution. To evade these issues, we apply the Nystro¨ m method to construct the noise subspace based on the randomly selected array sensor outputs. Thus we present a high-resolution and low-complexity improved fast modified root-MUSIC (FMRM) method for the target detection and localization of the multiple narrowband far-field sources. Computer simulation demonstrates that the proposed FMRM method exploiting only one-fourth of sensor array output can offer the same estimation performance as that of the standard root-MUSIC method.
ISSN:2475-1472
2475-1472
DOI:10.1109/LSENS.2023.3278309