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The Time-of-Arrival Offset Estimation in Neural Network Atomic Denoising in Wireless Location.

Yunbing Hu1,2, Ao Peng1, Biyu Tang1

  • 1School of Informatics, Xiamen University, Xiamen 361001, China.

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|July 27, 2022
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This study introduces a new WiFi positioning method using channel state information (CSI) for accurate indoor location. The technique enables fast deployment without extensive site surveys, reducing costs for wireless location services.

Keywords:
channel estimationchannel state informationcompressive sensing

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Area of Science:

  • Wireless Communication
  • Signal Processing
  • Indoor Positioning Systems

Background:

  • Rising demand for wireless location services necessitates cost-effective positioning systems.
  • WiFi-based indoor positioning is gaining traction due to its potential for lower deployment costs.
  • Channel State Information (CSI) offers more accurate radio propagation environment data than Received Signal Strength Indicator (RSSI).

Purpose of the Study:

  • To develop a novel and accurate indoor positioning method using WiFi Channel State Information (CSI).
  • To address challenges in CSI-based positioning, including signal bandwidth, interference, and noise.
  • To enable fast system deployment by eliminating the need for advance site surveys.

Main Methods:

  • A dictionary filtering method employing neural network direct weight determination for dictionary denoising.
  • Compressive Sensing (CS) to extract Channel Impulse Response (CIR).
  • Peak search for high-precision Time-of-Arrival (TOA) estimation and median value filtering for Time-Difference-of-Arrival (TDOA) based positioning.

Main Results:

  • Experimental validation using a WiFi positioning testbed demonstrated superior performance of the proposed scheme.
  • The method accurately estimates TOA and TDOA for precise device localization.
  • The proposed approach significantly outperforms traditional fingerprinting location methods in terms of deployment speed.

Conclusions:

  • The proposed CSI-based positioning method offers a high-precision and efficient solution for indoor localization.
  • The technique's ability to bypass site surveys drastically reduces deployment time and cost.
  • This advancement is crucial for meeting the growing demand for scalable and economical wireless location services.