Abstract

This paper assesses the feasibility of finding a time bin of optimum onset to improve the robustness of the resonance modes of a midsized aircraft target in the context of radar target identification subject to bistatic and polarization diversities. The approach utilizes the frequency data (noncoherent) to determine a reference onset and a reference resonant frequency set of interest and then employs the time data (coherent) to determine an optimum onset that leads to a minimum error between the reference and extractable mode frequencies. Both sets of data are subject to a qualitative assessment to investigate the impact of the bistatic and polarization radar configurations on the optimum onset to improve the mode extraction. The results show that an optimum onset, compared to the reference onset, is more immune to noise perturbation and has a better discriminative ability for same-class targets.

Highlights

  • Successful automatic target recognition (ATR) of a noncooperative target depends on deriving discriminative physical features from a radar signature model that is robust to perturbations and ambiguities in the radar signal [1]–[7]

  • Such a signature model is the singularity expansion method (SEM) model, which approximates the late time of the radar echo due to a pulsed incident field as a set of natural resonance modes related to the shapes and dimensions of the target cardinal structures [8]–[11]

  • The conducted approach presents a qualitative assessment of both the frequency and time data and has successfully determined the optimum onset solely based on the radar echo signal and proved its dependency on the bistatic scattering and polarization radar configurations

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Summary

Introduction

Successful automatic target recognition (ATR) of a noncooperative target depends on deriving discriminative physical features from a radar signature model that is robust to perturbations and ambiguities in the radar signal [1]–[7]. The present approach conducts a more detailed and qualitative assessment of both the frequency (noncoherent) and time (coherent) data, with the aim of determining the optimum onset and its dependency on the bistatic and polarization configurations.

Results
Conclusion

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