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Target Recognition Algorithm Based on RCS Time Sequence

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Abstract
 1. Introduction
 2. Track Matching Algorithm Preliminary Option of the Previous Flight Segment and Selection of matching Points
  2.1 Selectkio n of Correlation Factors
  2.2 Yawing Factor
  2.3. Altitude Factor
  2.4 Velocity Factor
  2.5 Direction Factor
  2.6 Correlation Index Definition and judgment Standard
  2.7 Correlation monitoring
 3. Target Recognition Algorithm Based on RCS Time Series
  3.1 Acquisition of RCS time series
  3.2 Selection of RCS Time Series for recognition
  3.3 Empirical mode Decomposition
  3.4 Space Target Recognition Algorithm Based on EMD
 4. Simulation Results and Its Analysis
  4.1 Simulation Database Establishment
  4.2 Track Matching Results Analysis
 5. Target Recognition Results analysis
  5.1 Target Recognition Results of Target Track 1 and Previous Track 1
  5.2 Targer Recognition Results of Target Track 1 and Previous Track 2
  5.3 Target Recognition Results of Target Track 2 and Previous Track 9
  5.4 Target Recognition Results of Target Track 2 and Previous Track 10
 6. Conclusions
 References

저자정보

  • Xia Tian School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, Heilongjiang Province, China
  • Shen Yiying School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, Heilongjiang Province, China
  • Hou Chengyu School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, Heilongjiang Province, China

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