BGT60TR13C Radar Sensor

BGT60TR13C is Infineon 60 GHz radar sensor with integrated antennas and FMCW operation. It supports compact motion, presence, gesture and short-range sensing applications in robots, smart devices and embedded perception systems.

Facts

  • Company: Infineon Technologies
  • Type: Radar Sensor
  • Core: 60GHz FMCW
  • Function: Presence
  • Audience: Electronics OEMs
  • Status: Commercial
  • Website: https://www.infineon.com/part/BGT60TR13C

Specifications

  • Frequency Band Ghz: 60 GHz
  • Bandwidth: 5 GHz bandwidth
  • Antenna: Integrated antenna-in-package
  • Radar Type: FMCW radar sensor
  • Interface: SPI
  • Package Size: 6.5 x 5.0 x 0.9 mm eWLB-40 package

Market context

BGT60TR13C is Infineon's 60 GHz radar sensor with antenna-in-package for compact presence, movement, gesture, and proximity-sensing applications.

  • Target environment: Embedded devices, compact robots, access systems, presence sensors, HMI products, and small automation systems needing short-range radar sensing.
  • Workflow context: Movement detection, presence sensing, gesture input, proximity awareness, privacy-preserving sensing, and radar-module development.
  • Customer context: Electronics designers, robotics teams, sensor-module makers, consumer-device builders, and automation product developers.

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Research

  • Lightweight FMCW Radar Framework for Human Activity Recognition Under Limited Data Conditions - 2026-03-22 - Research Publication - The team mounts a BGT60TR13C above a bedroom-like environment and records seven activity classes across 16 sessions with three participants. Models consume structured radar feature maps and are evaluated with cross-scene… - source: doi.org
  • How to Talk to Your Classifier: Conditional Text Generation with Radar–Visual Latent Space - 2025-07-17 - Research Publication - The experiments use Infineon's BGT60TR13C with one transmitter, three receivers and configurable range-Doppler acquisition. A dual-adversarial autoencoder aligns radar and visual classifier representations before a… - source: doi.org
  • A Deep Learning Method for Human Sleeping Pose Estimation with Millimeter Wave Radar - 2024-09-11 - Research Publication - The wall-mounted BGT60TR13C is positioned 0.65 m above the bed and angled downward to cover the participant's torso. Sixteen participants provide radar sequences for four sleep postures under a controlled acquisition… - source: doi.org

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