TY - JOUR
T1 - Robust Iterative Adaptive Filtering Sidelobe Suppression Algorithm to Range-Doppler-Straddling
AU - Ning, Chen
AU - Tian, Jing
AU - Zhang, Xinyue
AU - Zheng, Le
AU - Cui, Wei
AU - Wu, Siliang
N1 - Publisher Copyright:
© 1965-2011 IEEE.
PY - 2026
Y1 - 2026
N2 - The sidelobe suppression performance of existing iterative adaptive filtering methods severely deteriorates in the presence of range-Doppler-straddling targets. To resolve this issue, a straddling-robust iterative adaptive filtering (SR-IAF) algorithm is proposed. It incorporates the range-Doppler-straddling and intra-pulse Doppler effects into the received signal model, and compensates the straddling mismatch iteratively using the estimated straddling offsets. To further improve the capability of SR-IAF for sidelobe suppression in scenarios including range-spread targets, a modified SR-IAF (MSR-IAF) algorithm is then proposed. In this algorithm, the coarse positions, the lengths, and the number of range-spread targets are first determined according to the SRIAF outputs; then the straddling offsets of range-spread targets are refined based on the minimum error criterion; finally, SR-IAF is again performed with the estimated range-Doppler image and straddling offsets as prior knowledge to further subdue sidelobe levels of range-spread targets effectively. Simulation results show that the proposed SR-IAF method is capable of recovering the range-Doppler images with well suppressed sidelobes for point straddling targets, resulting in successful detection of weak targets located near strong targets. Compared with SR-IAF, MSR-IAF can further improve the performance of sidelobe suppression for rangespread targets with straddling, as demonstrated by the simulated and the experimental results.
AB - The sidelobe suppression performance of existing iterative adaptive filtering methods severely deteriorates in the presence of range-Doppler-straddling targets. To resolve this issue, a straddling-robust iterative adaptive filtering (SR-IAF) algorithm is proposed. It incorporates the range-Doppler-straddling and intra-pulse Doppler effects into the received signal model, and compensates the straddling mismatch iteratively using the estimated straddling offsets. To further improve the capability of SR-IAF for sidelobe suppression in scenarios including range-spread targets, a modified SR-IAF (MSR-IAF) algorithm is then proposed. In this algorithm, the coarse positions, the lengths, and the number of range-spread targets are first determined according to the SRIAF outputs; then the straddling offsets of range-spread targets are refined based on the minimum error criterion; finally, SR-IAF is again performed with the estimated range-Doppler image and straddling offsets as prior knowledge to further subdue sidelobe levels of range-spread targets effectively. Simulation results show that the proposed SR-IAF method is capable of recovering the range-Doppler images with well suppressed sidelobes for point straddling targets, resulting in successful detection of weak targets located near strong targets. Compared with SR-IAF, MSR-IAF can further improve the performance of sidelobe suppression for rangespread targets with straddling, as demonstrated by the simulated and the experimental results.
KW - Adaptive Filter
KW - Range-Spread Target
KW - Sidelobe Suppression
KW - Straddling Effects
UR - https://www.scopus.com/pages/publications/105027988317
U2 - 10.1109/TAES.2026.3654022
DO - 10.1109/TAES.2026.3654022
M3 - Article
AN - SCOPUS:105027988317
SN - 0018-9251
JO - IEEE Transactions on Aerospace and Electronic Systems
JF - IEEE Transactions on Aerospace and Electronic Systems
ER -