Abstract
Motion 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.
Highlights
Ground moving target indication (GMTI) combined with synthetic aperture radar (SAR) has become a well-established technique for civil and military applications
This paper introduced a novel motion parameter estimation method using contrast This paper introduced a novel motion parameter estimation method using contrast optimization optimization for a ground moving target
The echo model of a target in a SAR image was analyzed for a ground moving target
Summary
Ground moving target indication (GMTI) combined with synthetic aperture radar (SAR) has become a well-established technique for civil and military applications. In conventional SAR images, the target will be displaced and defocused because of the target’s radial (cross-track) and along-track velocities, respectively [6]. The target’s moving parameters, such as radial velocity, along-track velocity, and original azimuth position, play an important role in monitoring ground vehicles. Using these parameters, we can reposition them to the true azimuth location and extrapolate a target’s future position [7,8]. For airborne SAR systems, the target’s along-track velocity component will inevitably cause the image to be defocused, reducing the detection capability
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