Part 9: ISAC: Integrated Sensing, Communication, and Imaging
Chapter 30: From ISAC to Joint Communication-Sensing-Imaging
Research~160 min
Learning Objectives
- Recognize that massive MIMO channel estimation is the same inverse problem as RF scene imaging
- Formulate distributed networked sensing via k-space tessellation and consensus ADMM
- Design sensing-assisted communication systems that exploit reconstructed environment maps
- Optimize joint communication-sensing-imaging systems beyond the CRB-rate Pareto frontier
- Apply hierarchical sparsity and 2D Markov priors to channel estimation / imaging
Sections
💬 Discussion
Loading discussions...