AI-Supported SDR Project Log

Developing an AI-enhanced Software Defined Radio system with machine learning capabilities for signal processing and classification.

The goal is to create a system that can adapt to different signal environments and optimize performance automatically.

Sent PCB design for fabrication. Using 4-layer stackup with dedicated ground plane.

Key considerations:

• RF section isolation
• Power distribution network
• Thermal management

• Adaptive filtering with AI
• Automatic modulation classification
• Spectrum sensing and management
• Signal optimization

• AD9361 RF Transceiver
• Xilinx Zynq-7030 SoC
• DDR3 Memory
• Power management ICs

1. Research & Design (4 weeks)
2. PCB Design & Fabrication (6 weeks)
3. Hardware Assembly & Testing (3 weeks)
4. Firmware Development (5 weeks)
5. AI Integration (6 weeks)
6. System Testing (4 weeks)

Sent PCB design for fabrication. Expected delivery in 2 weeks.

Started working on FPGA firmware in the meantime.

Completed schematic design and began PCB layout.

Making good progress on component placement and routing.

Began PCB schematic design. Having some challenges with RF section layout.

Consulting with RF engineer to optimize design.

Completed initial research phase.

Finalized system architecture and component selection.

Ordered first batch of components for prototyping.