Stanford EE259 I Waveform orthogonality in MIMO radar, radar noise and interference I 2023 I Lec. 14

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Introduction

The video discusses the process of analyzing radar data using digital signal processing (DSP).
The main goal is to identify the range, velocity, and direction of targets detected by the radar.

Range Doppler Maps: The video suggests averaging the amplitudes of multiple range Doppler Maps to create one average map for analysis.
2D C4 processing: The range and velocity indices of the targets are determined using 2D C4 processing on the average range Doppler map.
DOA Processing: The antenna index P is converted to a DOA index Q using a point FFT.
Target DOA Detection: Another peak search is performed to determine which DOA indices correspond to the actual directions of the targets.
Mapping indices to physical quantities: The range, velocity, and DOA indices of the targets are converted to physical quantities such as meters and radians.
Visualization: The radar data can be visualized as a point cloud, with targets represented as dots in a 2D or 3D space.

The video provides examples of different visualizations of a radar data cube.
Velocity Angle Heat Map: A 2D heat map with velocity on one axis and angle on the other axis. The hot zone represents the location of the target.
Range Velocity Heat Map: Another 2D heat map with range on one axis and velocity on the other. The target's range and velocity can be determined from this map.
Range and Azimuth Angle: A black slice in the data cube that shows the target's range and azimuth angle.
Point Cloud: By converting the target's polar coordinates (R and Theta) to Cartesian coordinates (X and Y), a point cloud representation of the targets can be created.

The DSP process for radar data analysis can be implemented with just a few lines of code.
It is important to consider the assumptions made throughout the process and explore more sophisticated algorithms for better performance in radar analysis.