WAVEFORM DESIGN WITH POLYNOMIAL PHASE IN MODERN RADAR SYSTEMS

This research examines radar waveform design, interference mitigation, and performance optimization in modern radar systems, with a focus on multi-sensor setups and dynamic target detection. It addresses interference issues in automotive mmWave radar systems, analyzing interference types in Frequency Modulated Continuous Wave (FMCW) radars through simulations, real-world measurements, and experimental setups. The study introduces the Polynomial phase Estimate of Coefficients for unimodular Sequences (PECS) framework, which uses polynomial phase characteristics to achieve Doppler-tolerant waveform design. Building on FMCW advantages, it also offers a low-sampling-rate approach for Phase Modulated Continuous Wave (PMCW) radars, providing both Doppler tolerance and low sidelobe levels. The research further enhances MIMO radar performance and explores spectrum-efficient waveform designs for radar-communication coexistence and Wireless Sensor Networks (WSNs).