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Two-Phase Robust Target Localization in Ocean Sensor Networks Using Received Signal Strength Measurements
Yuanyuan Zhang1, Huafeng Wu1, Xiaojun Mei1
1Merchant Marine College, Shanghai Maritime University, Shanghai 201306, China.
Sensors (Basel, Switzerland)
|April 3, 2021
Summary
This study introduces a novel method for target localization in ocean sensor networks (OSNs) that estimates both location and unknown transmission power simultaneously. The proposed approach improves accuracy in dynamic ocean environments, overcoming limitations of existing received signal strength (RSS) localization techniques.
Area of Science:
- Oceanography and Marine Technology
- Sensor Networks and Signal Processing
- Underwater Acoustics and Localization
Background:
- Accurate target localization is crucial for ocean observation and engineering in Ocean Sensor Networks (OSNs).
- Received Signal Strength (RSS)-based localization is cost-effective and synchronization-free but struggles with accuracy in complex ocean environments.
- Uncertainty in transmission power significantly degrades localization accuracy in dynamic ocean conditions.
Purpose of the Study:
- To develop a novel localization method for OSNs that does not require prior knowledge of transmission power.
- To jointly estimate target location and unknown transmission power to enhance localization accuracy.
- To address the challenges posed by dynamic ocean environments and transmission power uncertainties.
Main Methods:
- A two-phase procedure is proposed, jointly estimating location and transmission power.
- The problem is transformed into an alternating non-negativity-constrained least square framework with unknown transmission power (UT-ANLS).
- A two-stage optimization method combining Interior Point Method (IPM) and Majorization-Minimization Tactic (MMT) is employed.
Main Results:
- The proposed IPM-MM method demonstrates superior performance compared to existing methods in various scenarios.
- The method effectively estimates both location and transmission power, mitigating errors caused by power uncertainty.
- The Cramer Rao Lower Bound (CRLB) was derived to evaluate the performance of the IPM-MM approach.
Conclusions:
- The proposed joint estimation method significantly improves localization accuracy in OSNs, especially under transmission power uncertainty.
- IPM-MM offers a robust solution for target localization in challenging and dynamic underwater environments.
- This technique advances the capabilities of ocean observation and underwater engineering applications.
Keywords:
Cramer-Rao lower bound (CRLB)majorization-minimization tactic (MMT)ocean sensor networks (OSNs)received signal strength (RSS)target localizationMore Related Videos
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