An improved 2-D phased array spatial spectrum estimation method at subarray level

2006 ◽  
Author(s):  
Hu Hang ◽  
Jing Xiuwei
Keyword(s):  
Phased Array ◽  
Estimation Method ◽  
Spatial Spectrum ◽  
Spectrum Estimation ◽  
Spatial Spectrum Estimation

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.

scholarly journals Detection of Wideband Signal Number Based on Bootstrap Resampling

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Jiaqi Zhen
Keyword(s):  
Signal To Noise Ratio ◽  
Spatial Spectrum ◽  
Estimation Methods ◽  
Single Frequency ◽  
Bootstrap Resampling ◽  
Spectrum Estimation ◽  
Wideband Signals ◽  
Vector Sequences ◽  
Spatial Spectrum Estimation ◽  
Source Number

Knowing source number correctly is the precondition for most spatial spectrum estimation methods; however, many snapshots are needed when we determine number of wideband signals. Therefore, a new method based on Bootstrap resampling is proposed in this paper. First, signals are divided into some nonoverlapping subbands; apply coherent signal methods (CSM) to focus them on the single frequency. Then, fuse the eigenvalues with the corresponding eigenvectors of the focused covariance matrix. Subsequently, use Bootstrap to construct the new resampling matrix. Finally, the number of wideband signals can be calculated with obtained vector sequences according to clustering technique. The method has a high probability of success under low signal to noise ratio (SNR) and small number of snapshots.

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