A Novel Feature Vector Using Complex HRRP for Radar Target Recognition

  • Authors:

  • Lan Du;Hongwei Liu;Zheng Bao;Feng Chen

  • Affiliations:

  • National Lab. of Radar Signal Processing, Xidian University, Xi'an, Shaanxi 710071, China;National Lab. of Radar Signal Processing, Xidian University, Xi'an, Shaanxi 710071, China;National Lab. of Radar Signal Processing, Xidian University, Xi'an, Shaanxi 710071, China;National Lab. of Radar Signal Processing, Xidian University, Xi'an, Shaanxi 710071, China

  • Venue:
  • ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
  • Year:
  • 2007

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Abstract

Radar high-resolution range profile (HRRP) has received intensive attention from the radar automatic recognition (RATR) community. Since the initial phase of a complex HRRP is strongly sensitive to target position variation, which is referred to as the initial phase sensitivity, only the amplitude information in the complex HRRP, what is called the real HRRP, is used for RATR. This paper proposes a novel feature extraction method for the complex HRRP. The extracted complex feature vector contains the difference phase information between range cells but no initial phase information in the complex HRRP. The recognition algorithms, frame-template-database establishment methods and preprocessing methods used in the real HRRP-based RATR can also be applied to the proposed complex feature vector-based RATR. The recognition experiments based on measured data show that the proposed complex feature vector can obtain better recognition performance than the real HRRP if only the cell interval parameters are proper.