Bi/Multi-Static NR Target Localization With Iterative WTRU Feedback
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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, particularly in new radio (NR) environments.
Innovation Solution
Implementing bi/multi-static configurations involving wireless transmit/receive units (WTRUs) for target localization, including WTRU-autonomous, network-assisted, and network-controlled methods, using joint communication and sensing reference signals (JCS-RS) for refined target location estimation through iterative measurements and resource management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If bi/multi-static measurements are used for target localization, then target localization capability is enabled, but estimation errors increase
Solution Approach 1:
The patent implements an iterative measurement process where the first WTRU determines target location and estimation error, compares the error against a threshold, and if the error is above the threshold, selects additional WTRUs for refined measurements. This feedback loop continues until the estimation error is reduced to an acceptable level, systematically improving localization accuracy while managing measurement complexity.
Solution Approach 2:
The system dynamically adjusts the measurement configuration by initially selecting a first subset of WTRUs for measurements, then conditionally expanding to a second subset of WTRUs based on the estimated location error. This dynamic adaptation allows the system to optimize between measurement precision and resource consumption, only adding measurement nodes when necessary to reduce estimation errors.
2Measurement precision
If iterative measurements with multiple WTRU subsets are performed, then target localization accuracy is improved, but measurement complexity increases
Solution Approach 1:
The patent segments the measurement process into distinct phases: initial measurement with a first subset of WTRUs, error evaluation, and conditional refined measurement with a second subset of WTRUs. This segmentation allows the system to manage complexity by breaking down the overall localization task into manageable stages, only proceeding to more complex measurements when necessary.
Solution Approach 2:
The system performs partial measurements initially using only a first subset of WTRUs to obtain a preliminary target location estimate. Only when the estimation error exceeds the threshold does the system perform additional measurements with a second subset of WTRUs. This partial action approach avoids the excessive complexity of always using all available WTRUs, while still providing the option for refined measurements when needed.
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.