Two-channel iterative adaptive approach for scanning radar angular superresolution
Yongchao Zhang, Wenchao Li, Yulin Huang, Yin Zhang, Jianyu Yang · 2016
This paper deals with the problem of estimating the directions of arrival (DOAs) in airborne forward-looking radar imaging, by joint processing the sum and difference channel data. It is known that the monopulse system uses two channels, the sum and the difference, to estimate the target DOA. However, it fails to work when multiple targets are located within the beamwidth. Aiming at this problem, the iterative adaptive approach (IAA) estimator previously derived by the authors is extended to a two-channel monopulse system. Compared with the traditional DOA estimator, two-channel IAA algorithm can cope with the case of multiple targets and provide higher estimation accuracy. Simulation validates the superior performance of two-channel IAA algorithm.