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Target Localization with Unknown Transmit Power and Path-Loss Exponent Using a Kalman Filter in WSNs
SeYoung Kang1, TaeHyun Kim2, WonZoo Chung1
1Division of Computer and Communications Engineering, Korea University, Seoul 02841, Korea.
Sensors (Basel, Switzerland)
|November 21, 2020
Summary
This study introduces a new hybrid localization algorithm for wireless sensor networks. It accurately estimates unknown transmit power and path-loss exponent, achieving high target localization accuracy even with noisy signals.
Area of Science:
- Wireless Sensor Networks
- Localization Algorithms
- Signal Processing
Background:
- Accurate target localization in wireless sensor networks (WSNs) relies on transmit power and path-loss exponent.
- Estimating these parameters is crucial when they are unknown for reliable WSN deployment.
- Conventional localization algorithms struggle without prior knowledge of these critical parameters.
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