Abstract
The azimuth multi-channel synthetic aperture radar (MC-SAR) systems can simultaneously realize high-resolution and wide-swath (HRWS) earth observations. However, channel phase bias inevitably exists in the practical work of the azimuth MC-SAR system, which is the main factor for the “virtual target” in SAR images. To accurately estimate the phase bias, a channel phase bias estimation approach based on modified kurtosis maximization (MMK) is proposed in this paper. By analyzing the echo characteristics of multi-channel SAR, the proposed approach constructs the objective optimization function of MMK of the reconstructed Doppler spectrum (RDS), and the channel phase bias can be accurately estimated. Simulation experiments and real raw data processing verify the effectiveness and robustness of the proposed approach, which is not limited by the scene and has a good estimation performance at a low signal-to-noise ratio (SNR).
Funder
Foundation of Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education
Natural Science Foundation of Henan
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering
Reference20 articles.
1. The “Myth” of the minimum SAR antenna area constraint;IEEE Trans. Geosci. Remote Sens.,2000
2. TanDEM-X: A Satellite Formation for High-Resolution SAR Interferometry;IEEE Trans. Geosci. Remote Sens.,2007
3. Optimal Time Selection for ISAR Imaging of Ship Targets Based on Time-Frequency Analysis of Multiple Scatterers;IEEE Geosci. Remote Sens. Lett.,2022
4. Focusing Bistatic SAR Data in Airborne/Stationary Configuration;IEEE Trans. Geosci. Remote Sens.,2010
5. Unambiguous SAR signal reconstruction from nonuniform displaced phase center sampling;IEEE Geosci. Remote Sens. Lett.,2004
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