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AssigneeRUNCOM Communication Ltd.
InventorsRan HADAD, Nadav HADAD, Zion HADAD
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Embodiments of the invention relate to robust Time of Arrival (ToA) estimation and Time Difference of Arrival (TDoA) positioning in OFDM/OFDMA systems under multipath and Non-Line-of-Sight (NLoS) conditions. The invention introduces a focused decimation framework that isolates the Line-of-Sight (LoS) region and suppresses distant multipath, producing short vectors suitable for real-time implementation. Multiple estimation methods are disclosed, including channel phase-based estimation, IFFT peak search, rising-edge detection, hybrid ESPRIT with Fast Iterative Adaptive Approach (FIAA), and Artificial Neural Network (ANN) models fused with ESPRIT outputs via a Multi-Layer Perceptron (MLP). For positioning, a reference-free TDoA formulation allows each radio unit (RU) to contribute independently, enabling robust outlier rejection of measurements from RUs without a clear LoS path to the user equipment (UE). In certain embodiments, an adaptive scheduler dynamically allocates radio resources for positioning based on quality-of-service requirements while coexisting with data communications
A method for estimating a Line-of-Sight (LoS) Time of Arrival (ToA) in an OFDM/OFDMA communication system, the method comprising obtaining a channel estimate using pilots or remodulated data;
A method for positioning a user equipment (UE) in a communication system, the method comprising obtaining ToA measurements from multiple distributed radio units (RUs), the RUs being clock-synchronized in advance through calibration, for example using LoS transmitters with known locations, applying a reference-free Time-Difference-of-Arrival (TDoA) formulation in which each RU contributes an independent ToA equation without reliance on a fixed reference RU, wherein redundant RUs are used to support robust outlier rejection and adaptively selecting and weighting reliable LoS paths while rejecting outlier measurements from RUs in NLoS conditions so that positioning is maintained even when only a subset of RUs provide clear LoS paths, thereby achieving robust positioning under multipath, NLoS, and asynchronous RU conditions.
An adaptive localization scheduler for a wireless communication system, configured to allocate radio resources for positioning based on quality of service (QoS) requirements including at least one of accuracy, latency, mobility, or propagation environment, wherein the scheduler dynamically adjusts allocations in time, frequency, bandwidth, beam management, and pilot distribution, and further operates to jointly optimize positioning resources and communication resources.
Dependencies are inferred from the claim text.