Beam Sweeping Control Using RCS Independence Data
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Solution Overview
Problem
Existing wireless communication systems face challenges in accurately determining radar cross section (RCS) for target objects, which affects the effectiveness of beam sweeping strategies in wireless sensing operations.
Innovation Solution
A sensing node and entity exchange RCS statistical independence information (SII) and beam sweeping strategies to enhance target detection and improve sensing performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If beam sweeping strategies are used for sensing target objects, then target detection capability is improved, but the accuracy of radar cross section determination deteriorates
Solution Approach 1:
The system performs preliminary actions by determining RCS SII values before executing beam sweeping operations. The sensing entity determines RCS SII for target objects and provides this information to the sensing node, which then uses this pre-obtained data to select appropriate beam sweeping strategies, ensuring accurate RCS determination is established before the actual sensing operation begins
Solution Approach 2:
The system implements feedback mechanisms where the sensing node receives sensing assistance data containing RCS SII information from the sensing entity, processes this feedback information to determine optimal beam sweeping strategies, and adjusts its sensing operations accordingly. This feedback loop ensures that beam sweeping operations are optimized based on actual target characteristics
2Ease of operation
If sensing operations are performed without RCS SII information, then operation simplicity is maintained, but sensing performance deteriorates
Solution Approach 1:
The system introduces an intermediary mechanism in the form of sensing assistance data that carries RCS SII information from the sensing entity to the sensing node. This intermediary data structure enables the sensing node to access and process RCS SII information without complicating the overall operation, as the information is packaged and transmitted through a standardized assistance data framework
3Measurement precision
If beam sweeping strategies are optimized using RCS SII, then sensing accuracy is improved, but system complexity increases
Solution Approach 1:
The system segments the sensing function into distinct components: a sensing entity that determines RCS SII values, a communication interface that transmits sensing assistance data, and a sensing node that processes this data to select beam sweeping strategies. This segmentation distributes complexity across specialized components rather than requiring a single complex system
Data Source
AI summary
In some aspects, a sensing node may receive sensing assistance data from a sensing entity, the sensing assistance data indicating radar cross section (RCS) statistical independence information (SII) for a target object, one or more beam sweeping strategies for sensing the target object, or both. The sensing node may determine, based on the sensing assistance data, a beam sweeping strategy to be used for sensing the target object. The sensing node may perform one or more sensing operations according to the beam sweeping strategy to be used for sensing the target object.