Part 3: Estimation and Detection in Structured Models

Chapter 12: MIMO Detection

Advanced~200 min

Learning Objectives

  • Formulate the MIMO detection problem and recognize why exact ML is exponential in the number of transmit antennas
  • Derive the Zero-Forcing and MMSE linear detectors and compute their post-detection SINRs
  • Understand Successive Interference Cancellation (V-BLAST), the role of ordering, and why MMSE-SIC achieves MIMO capacity
  • Implement sphere decoding with Schnorr-Euchner enumeration and analyze its expected complexity
  • Use the LLL algorithm to reduce a channel basis and build lattice-reduction-aided near-ML detectors

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