Overview

This project presents the MATLAB implementation for Radar Imaging, including signal modeling, direction of arrival (DoA) estimation, range estimation, and MIMO radar analysis.

Files Included

File Name	Description
doa_fft_single_target.m	DoA estimation using FFT for a single target
doa_fft_two_targets.m	DoA estimation with two targets + resolution
range_estimation.m	2D position estimation via cross-correlation
mimo_doa_range_estimation.m	Joint DoA & range estimation using MIMO radar
mohammadreza_zamani_HW1_10869960.pdf	Full technical report with explanation & results

Task Descriptions

1. System Geometry & Angular Resolution

• Constructs a ULA with optimized antenna count based on desired angular resolution (2°).
• Analyzes antenna spacing effects (λ/2 vs λ/4) to avoid aliasing.

Code: doa_fft_single_target.m

2. DoA Estimation via FFT

• Uses spatial FFT of demodulated signals to estimate target angle.
• Resolution computed by analyzing FFT sidelobes.
• Extended to multiple targets with findpeaks.

3. 2D Position Estimation

• Models radar signal as a sinc-modulated chirp.
• Applies round-trip time delay and estimates target range using cross-correlation.

4. MIMO Radar

• Constructs a virtual array using 2 Tx and 29 Rx antennas (→ 58 elements).
• Estimates DoA and range simultaneously.
• FFT used for angular domain; cross-correlation for range.

Sample Results

• DoA Estimation Accuracy: < 0.2° error for single/multiple targets
• Range Estimation Accuracy: ±0.01 m (using 1 GHz bandwidth)
• Resolution Achieved: Angular ≈ 2°, Range ≈ 0.15 m