Wireless Positioning Link Classification for ALOS and NLOS Mitigation

The patent segments the positioning problem by separately identifying and processing LOS and NLOS links. The system divides transmission links into distinct categories (LOS, ALOS, NLOS) based on measured parameters, allowing different handling methods for each segment. This segmentation enables the system to select appropriate positioning algorithms for each link type, thereby improving overall positioning accuracy despite the presence of ALOS and NLOS conditions.

The patent utilizes changes in signal parameters (timing information, path power, coherence bandwidth) to identify link types. By measuring and analyzing variations in these parameters across multiple reference signals, the system can distinguish between LOS, ALOS, and NLOS conditions. This parameter-based approach transforms the unreliable positioning problem into a reliable classification problem, which then informs the positioning calculation.

The patent makes the existing reference signal measurement mechanism multi-functional by extracting multiple parameters (timing information, path power, coherence bandwidth) from the same reference signal exchanges. Instead of requiring separate measurement procedures for each parameter type, the system universally processes reference signals to derive all necessary characteristics for link identification and positioning, thereby reducing overall system complexity while improving accuracy.

The patent introduces an intermediary classification layer that processes raw measurement data before positioning calculation. This intermediary layer analyzes timing information, path power, and coherence bandwidth to determine link types, then passes classified information to the positioning algorithm. This mediator approach simplifies the overall system by creating a clear separation between measurement, classification, and positioning functions, making each component more manageable despite the increased information processing.