Measurement matrix design for sparse spatial spectrum estimation in Khatri-Rao subspace

2018 ◽  
Vol 144 (3) ◽  
pp. 1685-1685
Author(s):  
Jiajun Shen ◽  
Tian Zhou
Keyword(s):  
Spatial Spectrum ◽  
Spectrum Estimation ◽  
Measurement Matrix ◽  
Spatial Spectrum Estimation ◽  
Matrix Design

Complex Angle Measuring Method of Passive-Radar-Seeker

2011 ◽  
Vol 55-57 ◽  
pp. 272-275 ◽  
Author(s):  
Chun Na Zhao ◽  
Chang Di Shi ◽  
Yu Zhao ◽  
Yi Liu
Keyword(s):  
High Resolution ◽  
Measuring Method ◽  
Spatial Spectrum ◽  
Passive Radar ◽  
Spectrum Estimation ◽  
Angle Measuring ◽  
Simulation Results ◽  
Spatial Spectrum Estimation

To overcome the shortcomings of the traditional passive-radar-seeker(PRS) for anti-decoy, a complex angle measuring method is proposed in this letter. The complex angle measuring method consists of monopulse angle and spatial spectrum estimation, two angle-measuring units. PRS can get the angle high-resolution features through the complex angle measuring method. So it is possible that PRS confronts decoy. Finally, the simulation results verify the feasibility and anti-decoy capacity of the complex angle-measuring method.

Platform of Spatial Spectrum Estimation Based on Matlab GUI

2014 ◽  
Vol 556-562 ◽  
pp. 3357-3360 ◽  
Author(s):  
Shen Zhao ◽  
Xiao Fei Zhang
Keyword(s):  
Signal To Noise Ratio ◽  
Spatial Spectrum ◽  
Spectrum Estimation ◽  
Signal To Noise ◽  
Spatial Estimation ◽  
Noise Ratio ◽  
Spatial Spectrum Estimation

A platform of spatial estimation, which is based on Matlab GUI, was established. We use Matlab to do analysis of different parameters (Signal-to-noise ratio, the number of snapshots, the number of antenna elements, the number of targets) and simulate the results with different algorithm. In addition, we use a Matlab GUI to present the results of simulations in a interface-friendly way.

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