Motion assisted leakage removal for radar applications

    公开(公告)号:US11165462B2

    公开(公告)日:2021-11-02

    申请号:US16575226

    申请日:2019-09-18

    Abstract: A method and electronic device for motion assisted leakage removal. The electronic device includes a radar transceiver, a sensor, and a processor. The processor is configured to determine that the electronic device is in a first motion state, During the first motion state, the processor is configured to transmit a first set of signals. The processor is also configured to generate a first channel impulse response (CIR) based on the received first set of signals. The processor is further configured to apply a filter that estimates a leakage depicted by the first CIR. During a second motion state, the processor is configured to transmit a second set of signals. Additionally, the processor is configured to generate a second CIR based on the received second set of signals, and apply the estimated leakage from the first CIR to the second CIR to remove leakage from the second CIR.

    SYSTEM AND METHOD FOR ARTIFICIAL INTELLIGENCE (AI) DRIVEN VOICE OVER LONG-TERM EVOLUTION (VoLTE) ANALYTICS

    公开(公告)号:US20220210682A1

    公开(公告)日:2022-06-30

    申请号:US17547002

    申请日:2021-12-09

    Abstract: A network management apparatus of a wireless network includes a network interface, a processor, and a memory. The memory contains instructions, which when executed by the processor, cause the apparatus to receive, via the network interface, first data comprising values of key performance indicators (KPIs) obtained from elements of the wireless network for a first time period, receive, via the network interface, second data comprising values of key quality indicators (KQIs) for the first time period, wherein the KQIs comprise metrics of end-user quality of service (QoS) of the wireless network, and perform supervised learning to train an artificial intelligence (AI) model based on the first and second data, wherein features of the AI model are based on KPIs available from elements of the wireless network, and outputs of the AI model comprise values of one or more KQIs.

    CONFIGURATION MANAGEMENT AND ANALYTICS IN CELLULAR NETWORKS

    公开(公告)号:US20210351973A1

    公开(公告)日:2021-11-11

    申请号:US17192780

    申请日:2021-03-04

    Abstract: Apparatuses and methods for identifying network anomalies. A method includes determining a cumulative anomaly score over a predefined time range based on a subset of historical PM samples and determining an anomaly ratio of a first time window and a second time window, based on the cumulative anomaly score. The method also includes determining one or more anomaly events coinciding with CM parameter changes based on the anomaly ratio; collating the PM, alarm, and CM data into a combined data set based on matching fields and timestamps; generating a set of rules linking one or more CM parameter changes and the collated data to anomaly events; and generating root cause explanations for CM parameter changes that are linked to anomaly events.

    SENSOR FUSION FOR LOCALIZATION AND PATH PLANNING

    公开(公告)号:US20210064043A1

    公开(公告)日:2021-03-04

    申请号:US17003834

    申请日:2020-08-26

    Abstract: An electronic device includes a first set of sensors configured to generate motion information. The electronic device also includes a second set of sensors configured to receive information from multiple anchors. The electronic device further includes a processor configured to generate a path to drive the electronic device within an area. The processor is configured to receive the motion information. The processor is configured to generate ranging information based on the information that is received. While the electronic device is driven along the path, the processor is configured to identify a location and heading direction within the area of the electronic device based on the motion information. The processor is configured to modify the estimate of location and the heading direction of the electronic device based on the ranging information. The processor is configured to drive within the area according to the path, based on the location and heading direction.

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