Wireless and Optical Sensing for IoT · Study deck

FMCW mmWave Radar: Range, Doppler, and Angle

Radio Remi is checking a loading bay where dust hides painted floor marks.

Radio Remi is your guide for this deck.

fmcw-radar-basicsiot-sensing
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After studying this chapter

Learning objectives

You will be able to:

  • Relate chirp slope and beat frequency to target range.
  • Explain how repeated chirps and antenna phase support Doppler and angle estimates.
  • Connect bandwidth, timing, aperture, SNR, resolution, and ambiguity to an IoT claim.
  • Explain: Radio Remi is checking a loading bay where dust hides painted floor marks.
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Major section

Start With the Story

Radio Remi is checking a loading bay where dust hides painted floor marks.

  • A camera loses contrast, but a radar return still needs careful reading.
  • Remi sends a rising chirp, mixes the delayed echo with the current transmit signal, and finds a beat tone.
  • Repeating the chirp adds motion evidence.
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Major section

Chirp, delay, and beat frequency

Ignoring target motion for this first step, beat frequency is slope times delay, so range is c times beat frequency divided by twice the slope.

  • The approximation is useful only within the radar's sampling, calibration, and propagation assumptions.
  • The mixer removes most of the carrier frequency and leaves a slower beat signal that an analogue-to-digital converter can sample.
  • Leakage between transmitter and receiver can occupy near-range bins and mask a weak reflector.
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Major section

Walk through the radar cube

The output is a detection with range, radial velocity, angle, strength, and uncertainty—not a camera-like object record.

  • The arrows show processing order, not proof that the final output is correct in every setting.
FMCW radar pipeline from chirp and echo through range, Doppler, and angle processing.
FMCW radar pipeline from chirp and echo through range, Doppler, and angle processing.
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Major section

Resolution and ambiguity

Ideal range resolution is approximately c divided by twice the swept bandwidth, so more bandwidth separates closer reflectors.

  • Doppler resolution improves with a longer coherent observation, while frame rate and target change limit how long samples remain comparable.
  • Sampling rate bounds beat frequency and unambiguous range.
  • Pulse timing bounds unambiguous velocity.

Why it matters

Windowing reduces spectral leakage but widens peaks.

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Deck summary

Key takeaways

Radio Remi is checking a loading bay where dust hides painted floor marks.

  • Ignoring target motion for this first step, beat frequency is slope times delay, so range is c times beat frequency divided by twice the slope.
  • The output is a detection with range, radial velocity, angle, strength, and uncertainty—not a camera-like object record.
  • Ideal range resolution is approximately c divided by twice the swept bandwidth, so more bandwidth separates closer reflectors.
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Retrieval practice

Recall check

Radio Remi says: answer from memory, then check your reasoning.

Q1What mainly improves ideal FMCW range resolution?

AIncreasing swept bandwidth
BPrinting more decimal places
CReducing the number of receive antennas
DReplacing held-out tests with training data
Show answer

Answer: A Increasing swept bandwidth.

Q2Which sample dimension supplies Doppler evidence?

APhase or frequency change across repeated chirps
BColour across camera pixels
COne ADC code with no time history
DThe chapter title
Show answer

Answer: A Phase or frequency change across repeated chirps.

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Print reference

Answers

Answer key.

  1. A · Increasing swept bandwidth.
  2. A · Phase or frequency change across repeated chirps.
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