Low-Complexity Iterative Adaptive Approach Based on Range–Doppler Matched Filter Outputs

作者：Jing Tian, Biao Zhang, Kun Li, Wei Cui, Siliang Wu · 发表于：IEEE Transactions on Aerospace and Electronic Systems · 年份：2022 · DOI：10.1109/taes.2022.3188742 · 被引用次数：21 · 研究领域：Radar Systems and Signal Processing、Advanced SAR Imaging Techniques、Direction-of-Arrival Estimation Techniques

This article presents a computationally efficient iterative adaptive approach based on range–Doppler matched filter outputs for sidelobe suppression and range–Doppler imaging. A sidelobe suppression scheme, named as dimension reduction based fast iterative adaptive approach (DR-FIAA), is designed by adopting a small processing window on range–Doppler matched filter outputs to eliminate the masking of weak targets by strong targets nearby with low computational complexity. Two specific methods are proposed under this scheme, namely synchronous FIAA (SY-FIAA) and sequential FIAA (SE-FIAA). Compared to SY-FIAA, SE-FIAA has lower computational complexity at the cost of some performance loss. Based on the structure relationships among covariance matrices, further reduced computational complexity can be achieved by SY-FIAA and SE-FIAA. Numerical examples for different scenarios are included to demonstrate the effectiveness of the proposed designs.