Abstract

This paper presents an improved indoor localization system based on radio frequency (RF) and ultrasonic signals, which we named the SNSH system. This system is composed of a transmitter mounted in a mobile target and a series of receiver nodes that are managed by a coordinator. By measuring the Time Delay of Arrival (TDoA) of RF and ultrasonic signals from the transmitter, the distance from the target to each receiver node is calculated and sent to the coordinator through the CAN network, then all the information is gathered in a PC to estimate the 3D position of the target. A sine wave detector and dynamic threshold filter are applied to provide excellent accuracy in measuring the range from the TDoA results before multilateration algorithms are realized to optimize the accuracy of coordinate determination. Specifically, Linear Least Square (LLS) and Nonlinear Least Square (NLS) techniques are implemented to contrast their performances in target coordinate estimation. RF signal encoding/decoding time, time delay in CAN network and math calculation time are carefully considered to ensure optimal system performance and prepare for field application. Experiments show that the sine wave detector algorithm has greatly improved the accuracy of range measurement, with a mean error of 2.2 mm and maximum error of 6.7 mm for distances below 5 m. In addition, 3D position accuracy is greatly enhanced by multilateration methods, with the mean error in position remaining under 15 mm. Furthermore, there are 90% confidence error values of 23 mm for LLS and 20 mm for NLS. The update in the overall system has been verified in real system operations, with a maximum rate of 25 ms, which is a better result than many other existing studies.

Highlights

  • In recent years, location-based applications have increased rapidly, becoming of great interest to many researchers and big technology companies

  • We propose the SNSH indoor localization system where a sine wave detector method is applied to improve range measurement from the Time Delay of Arrival (TDoA) results, before Least Squares algorithms are realized to reduce the errors for coordinate determination

  • An innovative approach for detecting the arrival of ultrasonic waves has been investigated using a sine wave detector. Its implementation contributes another way to determine the distance between two moving points using the TDoA technique based on ultrasonic and radio frequency (RF) signals

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Summary

Introduction

Location-based applications have increased rapidly, becoming of great interest to many researchers and big technology companies. A peak value indicates the moment at which the ultrasound signal arrives This method reduces the error in distance measurement down to less than the centimeter range. We propose the SNSH indoor localization system where a sine wave detector method is applied to improve range measurement from the TDoA results, before Least Squares algorithms are realized to reduce the errors for coordinate determination. These two steps are named the measurement phase and processing phase, respectively.

System Description
Algorithms and Implementation
Implementation and Simulation Result
Least Square Problem
Implementation and Simulation Results
Methods
Least Square Algorithms
Method
Conclusions

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