Theoretical and Experimental Comparison of Off-Grid Sparse Bayesian Direction-of-Arrival Estimation Algorithms
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Access"
DOI: 10.1109/access.2017.2747153
Abstract: Off-grid sparse Bayesian learning algorithms for estimating the directions-of-arrival (DOAs) of multiple signals using an array of sensors are attractive in practice due to three primary reasons. First, these algorithms are fully automatic Bayesian algorithms… read more here.
Keywords: grid sparse; ogsbl algorithm; sparse bayesian; estimation algorithms ... See more keywords
Pruned Distributed and Parallel Subarray Beamforming for 3-D Underwater Imaging With Fine-Grid Sparse Arrays
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Oceanic Engineering"
DOI: 10.1109/joe.2021.3056705
Abstract: The development of real-time 3-D underwater imaging systems with large planar arrays involves high hardware costs and great computational burden. This study proposes the concept of fine-grid sparse arrays and the pruned distributed and parallel… read more here.
Keywords: pruned distributed; underwater imaging; grid sparse; sparse arrays ... See more keywords
Wire-Grid and Sparse MoM Antennas: Past Evolution, Present Implementation, and Future Possibilities
Sign Up to like & getrecommendations! Published in 2023 at "Symmetry"
DOI: 10.3390/sym15020378
Abstract: Since the end of the 19th century, radioelectronic devices (REDs) have actively penetrated into all modern community spheres. Achievements in the fields of radio engineering and electronics, as well as computing, information, telecommunications, and other… read more here.
Keywords: problem; wire grid; grid sparse; design ... See more keywords