Wireless Signal Positioning via Preconfigured Filter

The patent applies preliminary action by pre-configuring filtering parameters and measurement configurations before actual positioning measurements. The network device pre-configures the UE with filtering parameters including filter coefficients, time window sizes, and number of samples to be averaged. This preparation work is done in advance through RRC signaling, so that when positioning measurements are needed, the UE can immediately apply the pre-configured filters without complex real-time parameter negotiation, thus improving positioning accuracy while controlling processing complexity.

The patent applies parameter changes by dynamically adjusting filtering parameters based on positioning requirements. The network can configure different filter coefficients, time window sizes, and sample counts depending on the desired positioning accuracy and channel conditions. For example, higher positioning accuracy requirements trigger larger time windows and more samples, while mobility scenarios use smaller windows. This adaptive parameter adjustment optimizes the balance between positioning accuracy and processing complexity.

The patent applies universality by designing the RRC signaling messages to serve multiple functions simultaneously. The same RRC reconfiguration message that configures measurement parameters also configures filtering parameters, and can include both uplink and downlink filtering configurations in a single signaling exchange. This multi-functional approach ensures measurement consistency across different measurement types while minimizing redundant signaling overhead.

The patent applies copying by reusing filtering parameter configurations across multiple measurement scenarios. Once filtering parameters are configured for a particular positioning method, the same parameter sets can be copied and applied to similar measurement configurations, reducing the need for repeated signaling. The pre-configured filter templates can be referenced multiple times with minimal additional signaling.

The patent applies dynamics by making the time window size and sample number configurable and adaptable to different scenarios. The network can dynamically adjust these parameters based on UE mobility state, channel conditions, and positioning requirements. For stationary or slow-moving UEs, larger time windows and more samples provide higher reliability. For mobile UEs, smaller windows reduce measurement time while maintaining adequate reliability. This dynamic adaptation resolves the trade-off between reliability and measurement time.

The patent applies parameter changes by allowing flexible configuration of time window size and sample count to optimize the reliability-time trade-off. The network can configure different parameter sets for different positioning accuracy requirements and mobility scenarios. For example, high-accuracy static positioning uses large time windows (e.g., 100ms) and many samples, while mobile positioning uses smaller windows (e.g., 20ms) and fewer samples, achieving adequate reliability with reduced measurement time.