Robust Adaptive Pulse Compression Algorithm for Targets with Straddling

The existing iterative adaptive filtering algorithms based on the minimum mean square error (MMSE) criterion can effectively suppress range-Doppler sidelobes of targets and unveil targets in multi-target scenarios. However, these iterative adaptive filtering algorithms suffer from deteriorated performance in the presence of targets with range-Doppler-straddling when using linear frequency modulation (LFM) waveforms. To suppress sidelobes when straddling occurs, this paper presents a robust adaptive pulse compression algorithm based on straddlingrobust self-calibration iterative adaptive filtering (SR-SCIAF). The received signal model considering range-Doppler-straddling effects are firstly established and then the SR-SCIAF algorithm is introduced based on the MMSE criterion. During the iterative processing, SR-SCIAF can reduce the modelling mismatch by estimating straddling offsets and compensating the corresponding phase mismatch. Simulation results demonstrate that SRSCIAF provides good robustness against straddling effects and can effectively suppress range-Doppler sidelobes of targets with straddling in multi-target scenarios.