公开(公告)号：US20240188124A1

公开(公告)日：2024-06-06

申请号：US18073032

申请日：2022-12-01

Applicant: Silicon Laboratories Inc.

Inventor： Qiang Li ,  Yan Zhou

IPC: H04W74/08 ,  H04B17/309

CPC classification number: H04W74/0808 ,  H04B17/309

Abstract: Techniques for quickly and accurately determining whether a channel is being used for transmission of data using one of a plurality of communications protocols for low power signals using random data of a packet are disclosed. The techniques increase sensitivity and reduce the false alarm rate for a wide range of signal and noise levels. A noise detection technique uses an adaptive window size for fast noise detection that increases the rate of scanning channels during a signal identification period. In a BLE1M detection mode, detection of clusters of zero frequency deviation are used to reduce the false detection rate. Adaptive Zigbee symbol detection improves detection sensitivity beyond −97 dBm. The techniques use a chip-based differential to generate frequency deviation samples for Zigbee detection or data filtering frequency deviation samples generated using sample-based differentials based on an oversampled received signal to improve the signal-to-noise ratio.

公开(公告)号：US20240187036A1

公开(公告)日：2024-06-06

申请号：US18073028

申请日：2022-12-01

Applicant: Silicon Laboratories Inc.

Inventor： Qiang Li ,  Yan Zhou

IPC: H04B1/7103

CPC classification number: H04B1/7103

Abstract: Techniques for quickly and accurately determining whether a channel is being used for transmission of data using one of a plurality of communications protocols for low power signals using random data of a packet are disclosed. The techniques increase sensitivity and reduce the false alarm rate for a wide range of signal and noise levels. A noise detection technique uses an adaptive window size for fast noise detection that increases the rate of scanning channels during a signal identification period. In a BLE1M detection mode, detection of clusters of zero frequency deviation are used to reduce the false detection rate. Adaptive Zigbee symbol detection improves detection sensitivity beyond −97 dBm. The techniques use a chip-based differential to generate frequency deviation samples for Zigbee detection or data filtering frequency deviation samples generated using sample-based differentials based on an oversampled received signal to improve the signal-to-noise ratio.

公开(公告)号：US12088335B2

公开(公告)日：2024-09-10

申请号：US18073028

申请日：2022-12-01

Applicant: Silicon Laboratories Inc.

Inventor： Qiang Li ,  Yan Zhou

IPC: H04B1/7103

CPC classification number: H04B1/7103

Abstract: Techniques for quickly and accurately determining whether a channel is being used for transmission of data using one of a plurality of communications protocols for low power signals using random data of a packet are disclosed. The techniques increase sensitivity and reduce the false alarm rate for a wide range of signal and noise levels. A noise detection technique uses an adaptive window size for fast noise detection that increases the rate of scanning channels during a signal identification period. In a BLE1M detection mode, detection of clusters of zero frequency deviation are used to reduce the false detection rate. Adaptive Zigbee symbol detection improves detection sensitivity beyond −97 dBm. The techniques use a chip-based differential to generate frequency deviation samples for Zigbee detection or data filtering frequency deviation samples generated using sample-based differentials based on an oversampled received signal to improve the signal-to-noise ratio.