Super-Resolution Techniques in Multistatic Sensor Array Processing - Ho, Minhtri
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MUSIC (Multiple Signal Classification) method, which is a super-resolution technique, fails in the scenario of multiple targets if the targets are deterministic because the rank of the covariance matrix collapses to the value of one regardless of the number of targets. FRM (Frequency Response Matrix) method, which is also a super-resolution technique, addresses that shortcoming aspect of MUSIC. The main difference between the two schemes is that in the FRM method the transmitting elements are switched from one to another while the data matrix is collected, i.e., each column of the acquired…mehr

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Produktbeschreibung
MUSIC (Multiple Signal Classification) method, which is a super-resolution technique, fails in the scenario of multiple targets if the targets are deterministic because the rank of the covariance matrix collapses to the value of one regardless of the number of targets. FRM (Frequency Response Matrix) method, which is also a super-resolution technique, addresses that shortcoming aspect of MUSIC. The main difference between the two schemes is that in the FRM method the transmitting elements are switched from one to another while the data matrix is collected, i.e., each column of the acquired data matrix is due to a different transmitter. In the other hand, the conventional MUSIC scheme employs only one transmitter. This difference results in the FRM data matrix containing a richer set of information.
Autorenporträt
Minhtri Ho received his Ph.D. in Electrical Engineering at Northeastern University, Boston, MA, in 2006. He is a senior professional staff at the Johns Hopkins University Applied Physics Laboratory. He has worked on many radar-related projects.