Bringing Bluetooth 6.0 Channel Sounding to Market

Deepak Sanjay Handore, Senior Field Sales Application Engineer

Agenda

Why Bluetooth® Channel Sounding?

The Challenge:

The Opportunity:

Built on existing Bluetooth infrastructure, simplifying adoption and ecosystem integration.

Bluetooth® Channel Sounding Overview

Additional Resources

Bluetooth® Channel Sounding Comparison

Localization metric RSSI UWB Angle of Arrival Channel Sounding
Antenna requirements Single antenna Often complex hardware Multi-antenna required by spec Single or dual antenna
Connectivity Connection-oriented and connectionless Connectionless Connection-oriented and connectionless Connection-oriented
Performance metrics +/- 5 m, high susceptibility to multipath interference High accuracy (~10–30 cm) +- 3 degrees accuracy – azimuth, +- 5 degrees accuracy – elevation +/- .3 m < 5m with PBR, +/- 0.5 m > 5m with PBR
Solution advantages Ubiquitous support for RSSI measurements in existing Bluetooth LE products
  • High Precision
  • Low Latency
  • Scalable solution for real time position tracking
  • Supports 5-10 year battery life
  • Small form factor with flexible antenna design
  • Feature-add for security by proximity
Solution disadvantages Highly susceptible to RF noise and multipath Expensive and complex integration Needs complex antenna setup and calibration Scalability

Bluetooth® Channel Sounding - Target Markets & Use Cases

Proximity Awareness

Localization

Automapping

BG24: Optimized for Battery Powered, Channel Sounding-enabled IoT Devices

Differentiated Features

Device Specifications

BG24L: Channel Sounding Optimized, High-Performance & Low-Cost AI/ML Wireless SoC

Differentiated Features

Device Specifications

Bluetooth® Channel Sounding Dual Antenna Development Kit

Antenna Diversity – What does it bring?

Demonstration of antenna diversity impact on distance measurement accuracy:

Actual Distance: 5 meters

Silicon Labs Channel Sounding Algorithm

Algorithm Features

Key Benefits

Algorithm Performance Test Setup

The test setup involved various node pairs with different distances and obstacles:

Node Pairs Distance (in m) Obstacles
H & 1 20 Line-of-Sight
H & 4 7.9 Walls, Kitchen
1 & 4 14.84 Cubicles, Luminaires
1 & 5 33.9 Walls, Glass door

Algorithm Performance Data

Algorithm Mode LOS 90th Pct. Absolute Error (in m) LOS 95th Pct. Absolute Error (in m) NLOS 90th Pct. Absolute Error (in m) NLOS 95th Pct. Absolute Error (in m) Computation time (in ms)
STATIC_HIGH_ACCURACY 0.5 0.6 1.7 2.7 20000
REAL_TIME_BASIC 0.5 0.6 1.9 4.2 188
REAL_TIME_FAST 0.4 0.5 4.0 5.3 20

Note: 1. CS mode - PBR, CS channels – 72, number of antenna paths – 4. 2. ~100 CS Procedures used to produce single distance estimate.

Fit For Purpose Algorithm Modes

Energy Consumption Profile – Reflector

Reference Board Number of Antenna Paths (NAP) Number of Channels Mean Current Consumption (mA) Mean Energy Consumption (nAh)
BRD2606A 4 72 ~2.2 ~191.0
37 ~1.2 ~111.0
20 ~0.9 ~75.4
BRD2606A 2 72 ~1.7 ~146.0
37 ~1.0 ~91.0
20 ~0.8 ~65.0
BRD2606A 1 72 ~1.5 ~122.8
37 ~1.0 ~79.0
20 ~0.7 ~58.0

Antenna Diversity Increases Total Energy Per Measurement

Visualizer Tool

Visualizer Tool displays real-time CS data:

Silicon Labs Bluetooth® Channel Sounding Offering

CS & DEVELOPMENT KITS

BLUETOOTH 6.0 STACK

RTL Library

SDK & TOOLS

EFR32xG24 Channel Sounding Dev Kit attached to drone

Image description: A demonstration of the EFR32xG24 Channel Sounding Dev Kit attached to a drone, showcasing its application in real-world scenarios.

Thank you

The Premier IoT Developer Event

Locations: Austin, Shenzhen, Bangalore, Virtual

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