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 straddling- robust 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 SR- SCIAF provides good robustness against straddling effects and can effectively suppress range-Doppler sidelobes of targets with straddling in multi-target scenarios.