Parameterized Pseudo-Localization for Accurate and Efficient Moving Targets Imaging in Synthetic Aperture Radar

Abstract

Accurate and efficient moving target imaging is an important challenge for targets recognition in current synthetic aperture radar (SAR) combined with a ground moving target indication (GMTI) system. As the key but unknown parameter, the Doppler rates are estimated conventionally by searching any possible values for moving targets imaging. However, this conventional estimation method suffers from low accuracy or low efficiency due to the searching procedure. Focusing on these, we present a method to efficiently image the moving targets without the Doppler rate by Doppler delayed interferometry, and the imaged localization, which is parameterized pseudo-localization, is used to estimate the Doppler rate. In order to improve the estimation accuracy, an improved method based on the Newton method of approximation is proposed by exploiting the unused amplitude information. Compared with the conventional methods, the proposed improved method capable of high accuracy and low computation complexity simultaneously can meet the accurate and efficient requirements in the practical applications. Comparison simulations and real data processing results demonstrate the effectiveness of the proposed methods.

Fuzzy-based MTD

“…The method was limited to SRR values. Zhang et al (2017) modeled the estimation method based on the Doppler rate that rendered good accuracy and less computational complexity. The demerit of the method is that it is invalid for ambiguous radial velocities.…”

“…Thus, the conventional methods are grouped as search-based methods that are subjected to huge computation complexity as they engage themselves in searching for all possible parameters. These bottlenecks limit the practical application of the search-based methods, where there is a demand for high real-time accuracy and high estimation accuracy (Zhang et al, 2017). Thus, there is a need for an effective algorithm to eradicate the range migration and DFM, and it is the area of interest in recent years .…”