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Fixed Point Iteration Based Algorithm for Asynchronous TOA-Based Source Localization
Yanbin Zou1, Jingna Fan1, Liehu Wu1
1Department of Electronic and Information Engineering, Shantou University, Shantou 515063, China.
Sensors (Basel, Switzerland)
|September 23, 2022
Summary
A new Fixed Point Iteration (FPI) algorithm offers efficient source localization using time-of-arrival (TOA) data. It balances computational complexity and accuracy, overcoming limitations of existing methods.
Area of Science:
- Signal Processing
- Estimation Theory
- Wireless Communications
Background:
- Source localization with unknown start times is challenging.
- Current convex relaxation methods are computationally intensive.
- Two-stage weighted least squares (2SWLS) has performance limitations.
Purpose of the Study:
- Develop a computationally efficient source localization algorithm.
- Address limitations of existing convex and 2SWLS methods.
- Improve localization accuracy and robustness.
Main Methods:
- Developed a novel Fixed Point Iteration (FPI) algorithm.
- Algorithm derived from Maximum Likelihood Estimator (MLE).
- FPI avoids matrix inversion and complex computations.
Main Results:
- FPI demonstrates low computational complexity.
- Achieves good localization accuracy.
- Robust to sensor position errors.
Conclusions:
- FPI offers a practical solution for source localization.
- Provides a balance between computational cost and accuracy.
- Suitable for scenarios with unknown transmission times.
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