RP

Citation Author(s):
JY
Han
Beijing Institute of Technology
Submitted by:
Jingyuan Han
Last updated:
Wed, 12/11/2024 - 01:36
DOI:
10.21227/hn1k-g306
Data Format:
*.avi; *.csv; *.txt
License:
Creative Commons Attribution
28 Views
Categories:
Signal Processing
Nonlinear signal processing
Sensors
Keywords:
analytical prediction
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Abstract 

This is a dataset: a database of radar cross sections of models; The characteristics of the data set include radar frequency, polarization mode (currently only the co-polarized VV and HH), radar Angle of sight (pitch and azimuth), and target characteristics RCS. According to these input feature information, the highly nonlinear feature rcs of the predicted target is estimated. Prediction is actually an interpolation method, which can be divided into two kinds, interpolation and extrapolation. We can try different methods according to the data set provided, please show your skills!

Instructions: 

The input characteristics of the data set include radar frequency, polarization mode (currently only VV and HH of the same polarization), radar Angle of sight (pitch and azimuth),

 

The output features the RCS of the target.

 

We can expand the prediction according to the frequency dimension or the direction dimension, and then we can also consider cross polarization.

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