Parameter Estimation of a Ground Moving Target Using Image Sharpness Optimization
AbstractMotion parameter estimation of a ground moving target is an important issue in synthetic aperture radar ground moving target indication (SAR-GMTI) which has significant applications for civilian and military. The SAR image of a moving target may be displaced and defocused due to the radial and along-track velocity components, respectively. The sharpness cost function presents a measure of the degree of focus of the image. In this work, a new ground moving target parameter estimation algorithm based on the sharpness optimization criterion is proposed. The relationships between the quadratic phase errors and the target’s velocity components are derived. Using two-dimensional searching of the sharpness cost function, we can obtain the velocity components of the target and the focused target image simultaneously. The proposed moving target parameter estimation method and image sharpness metrics are analyzed in detail. Finally, numerical results illustrate the effective and superior velocity estimation performance of the proposed method when compared to existing algorithms. View Full-Text
Share & Cite This Article
Yu, J.; Li, Y. Parameter Estimation of a Ground Moving Target Using Image Sharpness Optimization. Sensors 2016, 16, 1017.
Yu J, Li Y. Parameter Estimation of a Ground Moving Target Using Image Sharpness Optimization. Sensors. 2016; 16(7):1017.Chicago/Turabian Style
Yu, Jing; Li, Yaan. 2016. "Parameter Estimation of a Ground Moving Target Using Image Sharpness Optimization." Sensors 16, no. 7: 1017.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.