Complex HRR range signatures

Junshui Ma; Stanley C. Ahalt

doi:10.1117/12.392520

24 July 2000 Complex HRR range signatures

Junshui Ma, Stanley C. Ahalt

Proceedings Volume 4029, Targets and Backgrounds VI: Characterization, Visualization, and the Detection Process; (2000) https://doi.org/10.1117/12.392520
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

The need to automatically identify moving targets is becoming increasingly important in modern battlefields. However, Synthetic Aperture Radar (SAR) is problematic when applied to moving targets scenarios because moving targets tend to smear SAR images. High-Range Resolution (HRR) Radar has, consequentially, attracted more attention due to its potential performance in moving target identification. However, devising reliable identification techniques using HRR signatures is challenging because the signatures are extremely sensitive to radar aspect angles primarily because of scintillation. This aspect sensitivity causes the HRR signatures to exhibit irregular behavior that makes extracting robust target features a challenge. As a result, HRR applications tend to base their processing on the magnitude of complex HRR signatures. We argue that insightful feature selection shoudl be based on a detailed understanding of the properties of the complex signatures. In this paper we focus on studying the fundamental behavior of complex HRR signatures that are generated from a representative HRR model. Our analysis focuses on (1) scintillation effects; (2) the relationship between HRR signatures and aspect angle, and (3) the utility of the phase of complex HRR signatures. In this paper we present a number of observations concerning the redundancy of phase information, the variance of HRR signatures as a function of aspect angle, and the relationship between scattering coefficients and scatterer locations.

Citation Download Citation

Junshui Ma and Stanley C. Ahalt "Complex HRR range signatures", Proc. SPIE 4029, Targets and Backgrounds VI: Characterization, Visualization, and the Detection Process, (24 July 2000); https://doi.org/10.1117/12.392520

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