Part 8: Advanced Topics
Chapter 29: Integrated Sensing and Communication
Advanced~120 min
Learning Objectives
- Define the dual-function radar-communication (DFRC) paradigm and identify key ISAC use cases including automotive radar, indoor localisation, and gesture recognition
- Derive the ambiguity function for common waveforms (LFM chirp, OFDM, random phase-coded) and relate range and velocity resolution to signal bandwidth and observation time
- Design OFDM-based radar processing using the 2D-FFT approach and analyse range-Doppler map formation from subcarrier and symbol dimensions
- Formulate the joint communication-sensing beamforming problem and characterise the rate-CRB trade-off for MIMO ISAC systems
- Explain the MIMO radar virtual aperture concept and its role in improving angular resolution through waveform diversity
- Apply compressed sensing and sparse recovery methods (LASSO, ISTA) to RF imaging problems and evaluate reconstruction quality versus measurement ratio and SNR
Sections
💬 Discussion
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