High accuracy localization of long term evolution based on a new multiple carrier noise model

Area of Science:

• Wireless communication
• Signal processing
• Geolocation technology

Background:

• Accurate device localization is crucial for mobile applications.
• Existing localization techniques using Long Term Evolution (LTE) can be limited by noise models.
• Phase noise in LTE carriers can impact localization precision.

Purpose of the Study:

• To develop a high-accuracy localization technique for LTE networks.
• To introduce a novel and accurate multiple carrier noise model for LTE localization.
• To evaluate the performance improvement offered by the new noise model.

Main Methods:

• Developed a new multiple carrier noise model incorporating LTE phase noise.
• Characterized phase noise of carriers at 2 GHz through experimentation.
• Integrated the developed noise model into LTE localization analysis.
• Evaluated localization accuracy in a high-traffic urban environment (Hong Kong).

Main Results:

• The new noise model accurately reflects LTE multiple carrier phase noise.
• Experimental characterization validated the phase noise parameters.
• LTE localization analysis demonstrated the model's effectiveness.
• The new localization method achieved approximately 10% higher accuracy compared to existing schemes.

Conclusions:

• The developed multiple carrier noise model significantly enhances LTE localization accuracy.
• Incorporating phase noise into the noise model is critical for precise positioning.
• The improved technique offers a substantial advancement over current widely adopted localization methods.