Project

# Title Team Members TA Documents Sponsor
12 Onboard Edge Computing for High-Resolution FMCW SAR on An Integrated UAV Platform
Chenxiao Wang
Giselle Jeay Jee Lim
Victoria Jeay Jia Lim
Yinfei Ma
Shurun Tan
# Onboard Edge Computing for High-Resolution FMCW SAR on An Integrated UAV Platform

## 1. Problem

Traditional small-scale UAV-borne Synthetic Aperture Radar (SAR) systems suffer from a "blind" data collection process. Because current onboard microcontrollers lack the processing power for complex SAR algorithms, high-resolution 2D images can only be generated via offline processing on a ground station PC after the drone lands. This delay prevents real-time decision-making and limits the immediate usefulness of the UAV in time-sensitive tasks like remote sensing, disaster response, or environmental monitoring.

## 2. Solution Overview

Our solution is to develop an integrated real-time imaging system capable of performing edge computing directly on the UAV.

We will replace the existing low-performance computing unit with a high-performance embedded edge platform. This allows us to migrate the heavy SAR imaging algorithms from the ground station to the drone itself, converting raw 1D radar waveforms into a 2D top-down terrain map in real-time and providing the operator with immediate visual feedback via a live video stream.

As an optional enhancement, we may upgrade the RF frontend by integrating a compact, high-frequency antenna array, which significantly improves scanning resolution while maintaining aerodynamic stability and weight constraints.

## 3. Solution Components

### Onboard Edge Computing Subsystem

- High-performance embedded computing platform (e.g., NVIDIA Jetson or equivalent) to replace the legacy low-performance unit (e.g., Raspberry Pi).
- Power management circuit to safely draw and regulate power from the UAV battery.

### Software & Transmission Subsystem

- Optimized real-time SAR imaging algorithm deployed on the edge computing platform.
- Video transmission program to stream the processed 2D map to the ground controller via the drone's API.

### RF Frontend Subsystem (Optional Enhancement)

- Compact, high-frequency antenna array for transmitting and receiving microwave signals.
- FMCW radar transceiver and Analog-to-Digital Converter (ADC) for raw data acquisition.

## 4. Criterion for Success

- The onboard embedded platform must successfully process the raw radar data into a 2D top-down terrain map in real-time (at least 1 frame per second) without exceeding the UAV payload's power limits.

- The system must transmit the generated 2D SAR imagery to the operator's remote controller as a live video stream with latency less than 2 seconds, displaying clear structural features rather than abstract 1D waveforms.

- If implemented, the upgraded RF frontend and antenna array must successfully capture FMCW backscatter signals during flight while maintaining reduced physical weight to ensure the UAV's aerodynamic stability.

TA: Kaiqi Chen

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