ELoran Receiver Sky-ground Wave Recognition Based on MUSIC Algorithm

2018 ◽  
Author(s):  
Yaru Zhao ◽  
Yanwei Sun ◽  
Ping Huang
Keyword(s):  
Music Algorithm ◽  
Ground Wave

Test for the Detection Depth with HF Portable Ground Wave Radar at Yangshan Area of Eastern China Sea

2010 ◽  
Vol 32 (4) ◽  
pp. 998-1002
Author(s):  
Bi-yang Wen ◽  
Zi-li Li ◽  
Hao Zhou ◽  
Zhen-hua Shi ◽  
Shi-cai Wu ◽  
...  
Keyword(s):  
Eastern China ◽  
China Sea ◽  
Detection Depth ◽  
Wave Radar ◽  
Ground Wave

MUSIC Algorithm Based on Sparse Coprime Electromagnetic Vector Arrays

2013 ◽  
Vol 34 (9) ◽  
pp. 2033-2038
Author(s):  
Hua Shao ◽  
Wei-min Su ◽  
Hong Gu ◽  
Can Wang
Keyword(s):  
Music Algorithm

scholarly journals Full snapshot reconstruction in hybrid architecture antenna arrays

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Maria Trigka ◽  
Christos Mavrokefalidis ◽  
Kostas Berberidis
Keyword(s):  
Antenna Array ◽  
Antenna Arrays ◽  
Communication Systems ◽  
Linear Array ◽  
Research Work ◽  
Hybrid Architecture ◽  
Angle Of Arrival ◽  
Music Algorithm ◽  
Array Structures ◽  
Signal Sources

AbstractIn the context of this research work, we study the so-called problem of full snapshot reconstruction in hybrid antenna array structures that are utilized in mmWave communication systems. It enables the recovery of the snapshots that would have been obtained if a conventional (non-hybrid) uniform linear antenna array was employed. The problem is considered at the receiver side where the hybrid architecture exploits in a novel way the antenna elements of a uniform linear array. To this end, the recommended scheme is properly designed so as to be applicable to overlapping and non-overlapping architectures. Moreover, the full snapshot recoverability is addressed for two cases, namely for time-varying and constant signal sources. Simulation results are also presented to illustrate the consistency between the theoretically predicted behaviors and the simulated results, and the performance of the proposed scheme in terms angle-of-arrival estimation, when compared to the conventional MUSIC algorithm and a recently proposed hybrid version of MUSIC (H-MUSIC).

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