MUSIC Algorithm for DoA: Theory and FPGA Implementation
This course presents a structured introduction to the MUSIC algorithm for direction-of-arrival estimation.
The complete workflow is covered, from theoretical principles and fixed-point modeling in Python to FPGA implementation and system integration using Vitis HLS.
What You'll LearnGain a clear understanding of the MUSIC algorithm and its underlying signal processing principles, including phased array operation, covariance matrix estimation, and subspace-based direction-of-arrival analysis.
Algorithm Understanding
Understand how the MUSIC algorithm is mapped to hardware using Vitis high-level synthesis and integrated as a reusable FPGA IP core.
FPGA implementation
Learn how to model and analyze fixed-point implementations, and how to evaluate precision–performance trade-offs resulting from quantization and finite word length effects.
Fixed-Point Design
Learn how the MUSIC accelerator is deployed, controlled, and validated on a Xilinx Zynq UltraScale+ platform, including software–hardware interaction and data transfer.
System integration