Derivation of physics-based HRR moving target models

Junshui Ma; Stanley C. Ahalt

doi:10.1117/12.395058

4 August 2000 Derivation of physics-based HRR moving target models

Junshui Ma, Stanley C. Ahalt

Proceedings Volume 4052, Signal Processing, Sensor Fusion, and Target Recognition IX; (2000) https://doi.org/10.1117/12.395058
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

Although SAR has demonstrated excellent performance in stationary target identification, SAR resolution suffers in moving target scenarios. High Range Resolution (HRR) radar appears to be an attractive alternative in applications to moving target identification because HRR target signature can provide target scatterer information with high range resolution. Since many HRR processing steps, such as feature extraction and clutter suppression, are based on underlying modeling assumptions, devising a reliable physics-based HRR model for moving targets has become an increasingly important topic. In this paper, we derive a scattering-based HRR moving target model. However, the general form of the derived model is quite complex, and this complexity makes subsequent analysis difficult. We therefore simplify the complex model to obtain different simplified versions that facilitate the utility of the models. Simplifications is achieved by instantiating the parameters in this model with radar and target parameters from the real world, and then retaining only those terms with dominant value. A series of reliable, yet theoretically tractable models, are obtained with different degrees of simplification. The contributions of this paper are as follows: (1) Two new physics-based HRR moving target models with different degrees of simplification are presented; (2) These models make no assumptions regarding the distribution of the clutter; (3) Performance boundaries on the subsequent feature extraction algorithms are derived and delineated.

Citation Download Citation

Junshui Ma and Stanley C. Ahalt "Derivation of physics-based HRR moving target models", Proc. SPIE 4052, Signal Processing, Sensor Fusion, and Target Recognition IX, (4 August 2000); https://doi.org/10.1117/12.395058

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KEYWORDS

Radar

Feature extraction

Synthetic aperture radar

Target recognition

Detection and tracking algorithms

Performance modeling

Information operations

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