NR Bi/Multi-Static Target Localization with Error-Driven Measurements
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Solution Overview
Problem
Existing wireless communication systems face challenges in accurately localizing targets due to estimation errors in bi/multi-static measurements, which can be exacerbated by environmental factors and system complexities.
Innovation Solution
Implementing bi/multi-static configurations involving wireless transmit/receive units (WTRUs) for enhanced target localization, including WTRU-autonomous, network-assisted, and network-controlled methods to refine target location estimates through joint communication and sensing reference signals (JCS-RS) measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If bi/multi-static measurements are used for target localization, then positioning capability is enabled, but estimation errors increase due to environmental factors and system complexities
Solution Approach 1:
The system performs initial target localization using bi/multi-static measurements, evaluates the estimation error against a threshold, and when the error exceeds the threshold, triggers additional measurements to refine the target location estimate. This feedback loop continuously improves measurement precision while maintaining localization capability.
Solution Approach 2:
The system performs preliminary target localization using initial bi/multi-static measurements before conducting additional refined measurements. This preliminary action establishes a baseline estimate that guides subsequent refinement efforts, enabling efficient allocation of measurement resources.
2Measurement precision
If additional bi/multi-static measurements are performed to refine target location, then measurement precision improves, but device complexity and signaling overhead increase
Solution Approach 1:
The system uses feedback from initial measurement results to determine whether additional measurements are needed. By comparing estimation errors against thresholds, the system intelligently activates additional measurement configurations only when necessary, reducing unnecessary complexity while maintaining precision when required.
Solution Approach 2:
The measurement configuration is dynamic rather than static. The system adapts the number and type of bi/multi-static measurements based on real-time evaluation of estimation quality. This dynamic approach optimizes the balance between precision and complexity by adjusting measurement intensity according to actual needs.
Data Source
AI summary
Systems, methods, and instrumentalities are disclosed herein associated with enabling target localization with bi/multi-static measurements in new radio (NR). Bi-static or multi-static configurations with potential targets may be formed with nodes (e.g., WTRUs, gNBs, etc.) of mobile wireless communication systems, for example, to enable target localization applications. Target localization may be enhanced based on using determined configurations to reduce target localization estimation errors.