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.

Missile-Target Information Acquisition of PRS in Confrontation Environment

2011 ◽  
Vol 474-476 ◽  
pp. 40-49
Author(s):  
Chun Na Zhao ◽  
Yu Zhao ◽  
Ying Shun Li ◽  
Li Ming Luo ◽  
Yi Liu
Keyword(s):  
Information Acquisition ◽  
Distance Measure ◽  
Measuring Method ◽  
Spatial Spectrum ◽  
Spectrum Estimation ◽  
Processing Approach ◽  
Gross Error ◽  
Angle Measuring ◽  
Spatial Spectrum Estimation ◽  
Grey Relation

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. To improve the precision and the stabilization of the angle-measure in the active-decoying environment, a grey processing approach is proposed in this paper. The methods of removing gross error and parameter estimation based on the grey entropy definition are proposed in the paper. Using grey data processing approach based on the definitions of grey distance measure and grey relation entropy, eliminate singularity and retain random error. Finally, the simulation results verify the feasibility and anti-decoy capacity of the complex angle-measuring method, and the grey processing approach can improve the precision and stabilization of angle-measurer in active-decoying environment, and can improve the precision of anti-radiation missiles (ARM)<b>.</b>

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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