Sparse Radar Waveform Design Exploiting Consecutive Integer Set Partitioning

In this paper, we exploit the concept of identical partitioning of an integer set to support orthogonal radar waveforms with non-overlapping slow-time pulses. The set of slow-time pulses in a coherent processing interval (CPI) is partitioned into multiple identical subsets, and each subset is used to design sparse slow-time pulses for a single radar with low lag redundancy. Such waveform design based on integer set partitioning not only allows co-existence of multiple radars over a particular CPI, but also ensures that each radar unit can enjoy an extended dwell time, thereby maintaining a high-resolution estimation of the target Doppler frequencies. A modified difference co-chirp-based approach is exploited for range-Doppler estimation of targets with a low computational complexity.