10 results about "Multipath mitigation" patented technology

Systems, methods, devices, and means for multipath mitigation, interference cancellation and multilateration in a cellular network supporting accurate and resilient position, navigation, and timing (PNT) services are described. The techniques described herein include operations directed to processing positioning reference signals (PRSs) to determine time of arrival (TOA) measurements for determining user equipment (UE) position in the presence of multipath noise and interferences. Example operations associated with processing PRSs includes receiving one or more PRSs in accordance with a comb pattern via resources defined by a set of orthogonal frequency division multiplexing (OFDM) symbols and a set of subcarriers. The example operations include generating a single OFDM symbol comprising the set of subcarriers based on combining the set of OFDM symbols into the single OFDM symbol. The example operations further include performing a multipath mitigation operation using the single OFDM symbol.

A system and method for positioning for line-of-sight and non-line-of-sight environments. In some embodiments, the method includes receiving, by a user equipment (UE), a positioning reference signal (PRS) from a first transmission and reception point (TRP) of a network; and sending, by the UE to the network, a response. Wherein the sending of the response can include one selected from: sending an indicator indicating whether the UE has performed measurements based on the positioning reference signal received via a line-of-sight path; or, identifying a first detected path and sending, to the network, a plurality of measurements, the plurality of measurements including, for each of a first plurality of paths, a time difference of arrival relative to a time of arrival of the first detected path, the first plurality of paths not including the first detected path, and the first plurality of paths including at least two paths.

A system and method for positioning for line-of-sight and non-line-of sight environments. In some embodiments, the method includes: receiving, by a User Equipment (UE), from a first Transmission and Reception Point (TRP) of a network, a Positioning Reference Signal (PRS); and sending, by the UE, a response to the network. The sending may include sending an indicator, the indicator indicating whether the UE has performed a measurement based on the Positioning Reference Signal, received via a line-of-sight path; or the sending may include identifying a first detected path and sending a plurality of measurements to the network, the plurality of measurements including, for each of a first plurality of paths, the arrival time difference relative to the arrival time of the first detected path, the first plurality of paths not including the first detected path, and the first plurality of paths including two paths.

The application discloses a kind of based on conformal MIMO radar waveform and array transceiver weighting joint multipath suppression method, belong to MIMO radar multi-channel waveform design and signal receiving processing field.The present application utilizes environmental information or prior information of multipath signal to carry out waveform and transceiver joint weighting multipath suppression, improve the identification accuracy of multipath component, and fully suppress the undesired multi-path signal, the present application can significantly improve target detection accuracy under indoor equal intensity multipath condition;The present application starts from the radar waveform design and array design angle, and the complexity is low, and real-time is good;The present application fully suppresses multipath echo, and improves output signal-to-noise ratio by multi-channel coherence superposition, and anti-interference performance is obviously improved.

The application discloses a carrier loop multipath suppression method based on improved Sage-Husa adaptive Kalman filtering, which comprises the following steps: signal correlation processing, early, positive and late correlation outputs and I / Q outputs are obtained; performing multipath detection, early and late correlation ratio analysis, phase lock quality evaluation and code phase deviation dynamic analysis are performed; calculating the basic measurement value, obtaining the preliminary code phase error and the carrier phase error; using carrier phase smoothing processing to enhance the measurement value, adjusting the noise covariance according to the multipath severity, performing adaptive Kalman filtering, including state prediction, gain calculation, state update, Sage-Husa adaptive noise covariance update and adaptive factor dynamic adjustment, storing data and preparing for the next cycle. Through the combination of multipath detection and adaptive filtering, the application effectively identifies the multipath interference and dynamically adjusts the system parameters, and significantly improves the phase tracking precision and reliability of the GNSS signal in a complex environment.

Systems, methods, devices, and means for multipath mitigation, interference cancellation and multilateration in a cellular network supporting accurate and resilient position, navigation, and timing (PNT) services are described. The techniques described herein include operations directed to processing positioning reference signals (PRSs) to determine time of arrival (TOA) measurements for determining user equipment (UE) position in the presence of multipath noise and interferences. Example operations associated with processing PRSs includes receiving one or more PRSs in accordance with a comb pattern via resources defined by a set of orthogonal frequency division multiplexing (OFDM) symbols and a set of subcarriers. The example operations include generating a single OFDM symbol comprising the set of subcarriers based on combining the set of OFDM symbols into the single OFDM symbol. The example operations further include performing a multipath mitigation operation using the single OFDM symbol.

The invention improves Global Navigation Satellite System (GNSS) accuracy using a novel hybrid approach combining Real-Time Kinematic (RTK) and Precise Point Positioning (PPP) techniques with advanced multipath mitigation. The system receives positioning data from multiple GNSS devices and uses a server-based location correction engine to process this information. It generates estimated position values and ambiguity measurements, which are then used in both RTK and PPP algorithms. The system also applies a mean-field carrier multipath mitigation technique, leveraging an ensemble solver to compute multipath-free position estimates. This approach addresses both device-specific and environmental errors, particularly benefiting consumer-grade GNSS devices. By iteratively refining position estimates and correcting for multipath effects, the system achieves high-precision positioning without relying on fixed base stations, offering centimeter-level accuracy for a wide range of applications.

The invention improves Global Navigation Satellite System (GNSS) accuracy using a novel hybrid approach combining Real-Time Kinematic (RTK) and Precise Point Positioning (PPP) techniques with advanced multipath mitigation. The system receives positioning data from multiple GNSS devices and uses a server-based location correction engine to process this information. It generates estimated position values and ambiguity measurements, which are then used in both RTK and PPP algorithms. The system also applies a mean-field carrier multipath mitigation technique, leveraging an ensemble solver to compute multipath-free position estimates. This approach addresses both device-specific and environmental errors, particularly benefiting consumer-grade GNSS devices. By iteratively refining position estimates and correcting for multipath effects, the system achieves high-precision positioning without relying on fixed base stations, offering centimeter-level accuracy for a wide range of applications.

A system and method for positioning for line-of-sight and non-line-of sight environments. In some embodiments, the method includes: receiving, by a User Equipment (UE), from a first Transmission and Reception Point (TRP) of a network, a Positioning Reference Signal (PRS); and sending, by the UE, a response to the network. The sending may include sending an indicator, the indicator indicating whether the UE has performed a measurement based on the Positioning Reference Signal, received via a line-of-sight path; or the sending may include identifying a first detected path and sending a plurality of measurements to the network, the plurality of measurements including, for each of a first plurality of paths, the arrival time difference relative to the arrival time of the first detected path, the first plurality of paths not including the first detected path, and the first plurality of paths including two paths.

The invention discloses a carrier loop multipath suppression method based on improved Sage-Husa adaptive Kalman filtering, and the method comprises the steps: signal correlation processing: obtaining early, positive and late correlation outputs and I / Q output; performing multipath detection, and performing morning and evening correlation ratio analysis, phase locking quality evaluation and code phase deviation dynamic analysis; calculating a basic measurement value, and obtaining a preliminary code phase error and a carrier phase error; the method comprises the following steps: firstly, measuring a multi-path signal, enhancing a measured value by utilizing carrier phase smoothing processing, adjusting a noise covariance according to multipath severity, and executing adaptive Kalman filtering, including state prediction, gain calculation, state updating, Sage-Husa adaptive noise covariance updating and adaptive factor dynamic adjustment, data storage and preparation for a next period. Through combination of multipath detection and adaptive filtering, multipath interference is effectively identified, system parameters are dynamically adjusted, and the phase tracking precision and reliability of GNSS signals in a complex environment are significantly improved.