Synthetic Aperture Radar (SAR) using AWR1843BOOST

This repository presents a complete implementation of Synthetic Aperture Radar (SAR) using the TI AWR1843BOOST mmWave FMCW radar. The project focuses on raw ADC data capture, coherent SAR processing, and high-resolution 2D imaging.

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🚀 Key Features

• FMCW-based SAR implementation at 77 GHz
• Raw ADC data capture using DCA1000EVM
• Phase-preserving SAR signal processing
• MATLAB & Python based processing pipeline
• Linear rail based synthetic aperture formation

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🧠 System Overview

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The radar is translated along a linear path while capturing FMCW chirps at discrete positions. The collected phase history is processed using Back Projection Algorithm to form a high-resolution SAR image.

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🧩 Hardware Used

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• Linear rail with stepper motor
• PC for data acquisition and processing

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📡 Radar Configuration (Typical)

Parameter	Value
Start Frequency	77 GHz
Bandwidth	4 GHz
ADC Samples	256
Chirps / Frame	64
TX	1
RX	4

Range Resolution ≈ 3.75 cm

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📥 Data Acquisition

• Raw ADC data captured using mmWave Studio
• LVDS streaming enabled
• Each radar position stored as a separate .bin file

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🧮 Signal Processing Pipeline

1. Raw ADC data parsing
2. Range FFT
3. Phase history extraction
4. SAR Back Projection
5. Image visualization

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📊 Results

Sample outputs include:

• Range profiles
• 2D SAR reflectivity images

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📌 Applications

• Indoor imaging
• Object profiling
• Educational SAR demonstrations
• Radar signal processing research

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📚 References

• TI mmWave SDK Documentation
• Skolnik, Introduction to Radar Systems
• Richards, Principles of Modern Radar

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👤 Author

Vishnu Prashanth
Electronics & Radar Systems Enthusiast