2018
DOI: 10.1088/1742-6596/1060/1/012026
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An Improved MUSIC Algorithm for DOA Estimation of Non-Coherent Signals with Planar Array

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Cited by 2 publications
(1 citation statement)
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“…Measures of the spectrum, including peak width, number and magnitude of additional peaks, and the peak to background ratio, can factor into a "statistical confidence" in the accuracy of the estimation of the center of the largest peak. MUSIC using complex-valued received signals is the most common approach due to higher accuracy, lack of mirrored images, and fewer additional spectral features; however, it suffers from longer, more computationally intense calculations when compared with real-valued received signals [17], [18], [19], [20]. When real-valued signals are simulated, two eigenvectors must be selected to represent the signal subspace.…”
Section: Aoa Estimationmentioning
confidence: 99%
“…Measures of the spectrum, including peak width, number and magnitude of additional peaks, and the peak to background ratio, can factor into a "statistical confidence" in the accuracy of the estimation of the center of the largest peak. MUSIC using complex-valued received signals is the most common approach due to higher accuracy, lack of mirrored images, and fewer additional spectral features; however, it suffers from longer, more computationally intense calculations when compared with real-valued received signals [17], [18], [19], [20]. When real-valued signals are simulated, two eigenvectors must be selected to represent the signal subspace.…”
Section: Aoa Estimationmentioning
confidence: 99%