How do radars tell targets apart when they’re close together - in range, angle, or speed?
In this video, we break down the three core types of radar resolution, how each one works, and why improving one often means making trade-offs with the others.
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Resources:
- Python notebook where you can play around with these resolution equations and other equations in the Animated Radar Cheatsheet series - will be updated with every new video in the series (radar_cheatsheet.ipynb) - https://tinyurl.com/radar-cheatsheet-nb
- All code for this video - https://tinyurl.com/github-videos
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References:
1. Fundamentals of Radar Signal Processing (Section 1.4.2) - Richards, M. A. (book) - https://tinyurl.com/radar-signal-processing-book
2. Discrete-Time Signal Processing (Section 7.5) - Oppenheim, A. V., & Schafer, R. W. (book) - https://tinyurl.com/oppenheim-discrete-time
3. Radar handbook - Skolnik, M. I. (book) - https://tinyurl.com/skolnik-radar-handbook
4. Introduction to Radar Systems, Lecture 2: Radar Equation (course slides by MIT LL) - https://tinyurl.com/mit-radar-equation
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All animations shown were created using Manim Community (https://docs.manim.community/en/stable/index.html) - a Python animation library written by 3Blue1Brown (https://www.youtube.com/@3blue1brown) and maintained by the community. Huge thanks to everyone working on this incredible project!
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Timestamps:
0:00 - What is radar resolution?
0:43 - Range Resolution
4:18 - Angular Resolution
7:04 - Velocity Resolution
10:42 - Trade-Offs
12:26 - The Interactive Radar Cheatsheet, etc.