Parameter estimation algorithms based on a physics-based HRR moving target model

Junshui Ma; Stanley C. Ahalt

doi:10.1117/12.396352

24 August 2000 Parameter estimation algorithms based on a physics-based HRR moving target model

Junshui Ma, Stanley C. Ahalt

Proceedings Volume 4053, Algorithms for Synthetic Aperture Radar Imagery VII; (2000) https://doi.org/10.1117/12.396352
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

In contrast to Synthetic Aperture Radar (SAR), High Range Resolution (HRR) radar may economically provide satisfactory target resolution when applied to moving targets scenarios. We have devised a series of new physics-based HRR moving target models with different degrees of simplification. These models represent the scatterers from both targets and clutter equally. By employing these models, we can unify the studies of both clutter suppression and target feature extraction into a single topic of model parameter estimation. Therefore, finding reliable parameter estimation algorithms based on these models becomes an important topic for target identification using HRR signatures. This paper derives and presents two feasible parameter estimation algorithms. The first algorithm (1DPE) reduces the 2D-estimation problem to two 1D-estimation problems, and solves the problems by employing some mature 1D-estimation algorithms. The second algorithm (2DFT) utilizes the 2D Discrete Fourier Transform (DFT) to estimate the model parameters by simply applying the 2D DFT to the HRR data, and obtaining the estimation of model parameters from the peaks of the 2D DFT. In order to verify the performance of these algorithms, we performed a series of simulation experiments and the experimental results are presented in this paper. Finally, a brief comparison of these two algorithms is also presented.

Citation Download Citation

Junshui Ma and Stanley C. Ahalt "Parameter estimation algorithms based on a physics-based HRR moving target model", Proc. SPIE 4053, Algorithms for Synthetic Aperture Radar Imagery VII, (24 August 2000); https://doi.org/10.1117/12.396352

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available