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Table 5 Principal component analysis on radar performance indicators

From: Measurement and evaluation method of radar anti-jamming effectiveness based on principal component analysis and machine learning

Radar performance indicators

Principal components

 

\(Comp_{1}\)

\(Comp_{2}\)

\(Comp_{3}\)

\(y_1\)

0.486

-0.22

0.745

\(y_2\)

− 0.508

  

\(y_3\)

0.522

  

\(y_4\)

− 0.429

− 0.376

 

\(y_5\)

− 0.129

0.67

0.646

\(y_6\)

− 0.183

0.637

− 0.726

Contribution rate

0.602461

0.2886396

0.0550844

Cumulative contribution rate

0.602461

0.8911006

0.946185

  1. \(Comp_{1}\), \(Comp_{2}\) and \(Comp_{3}\), respectively, denote the first, the second and the third principal component
  2. \(y_1\), \(y_2\), \(y_3\), \(y_4\), \(y_5\) and \(y_6\) denote the six radar performance indicators as in Table 4