17957534. METHODS AND SYSTEMS FOR ULTRA-WIDEBAND LOCALIZATION simplified abstract (Robert Bosch GmbH)

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METHODS AND SYSTEMS FOR ULTRA-WIDEBAND LOCALIZATION

Organization Name

Robert Bosch GmbH

Inventor(s)

Vivek Jain of Sunnyvale CA (US)

Sushanta Mohan Rakshit of Santa Clara CA (US)

METHODS AND SYSTEMS FOR ULTRA-WIDEBAND LOCALIZATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 17957534 titled 'METHODS AND SYSTEMS FOR ULTRA-WIDEBAND LOCALIZATION

Simplified Explanation

The systems and methods described in this patent application aim to improve the localization of portable devices with respect to infrastructure in real-world environments. Here are some key points to explain the innovation:

  • Measurement of geometric properties like distance and angle to infrastructure sensors can be inaccurate due to various factors such as multipath signals.
  • Errors in localization are unpredictable and can vary based on environmental conditions.
  • The patent application outlines methods and algorithm flows to enhance the performance of localization in challenging scenarios.

Potential Applications

The technology described in this patent application could be applied in various industries such as:

  • Asset tracking
  • Indoor navigation systems
  • Location-based services

Problems Solved

The innovation addresses the following issues:

  • Inaccurate localization of portable devices in real-world environments
  • Errors in measuring geometric properties due to multipath signals

Benefits

The technology offers the following benefits:

  • Improved accuracy in localizing portable devices
  • Enhanced performance in challenging environmental conditions

Potential Commercial Applications

A potential commercial application for this technology could be in:

  • Smart cities for tracking and managing assets
  • Retail environments for personalized customer experiences

Possible Prior Art

One possible prior art related to this technology is the use of fingerprinting techniques for indoor localization, where signals from infrastructure are used to determine the location of a device.

What are the limitations of the proposed methods in real-world scenarios?

The limitations of the proposed methods in real-world scenarios include:

  • Environmental factors that can affect the accuracy of localization
  • Variability in signal strength and interference from surrounding objects

How does this technology compare to existing solutions in terms of cost-effectiveness?

This technology may require additional infrastructure or hardware, which could impact its cost-effectiveness compared to existing solutions. However, the improved accuracy and performance may justify the investment for certain applications.


Original Abstract Submitted

The systems and methods described herein provide a means for obtaining an accurate localization of static/mobile portable devices with respect to static/mobile infrastructure. A real-world environment presents unique challenges when localizing a given portable tag. Measurement of various geometric properties such as distance and/or angle to given infrastructure sensor is often erroneous due to process phasing of main paths and superimposition with various multipath reflected signals. These errors are not known beforehand and vary per environmental conditions. Therefore, performing localization in such scenarios is non-trivial. The systems and methods described herein will highlight several methods and possible algorithm process flows to improve performance.