AIoT Local Clock Calibration Using Manchester Timing Signals
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Solution Overview
Problem
Ambient Internet of Things (AIoT) devices often have low local clock accuracy, necessitating external assistance for clock calibration to enhance communication accuracy.
Innovation Solution
AIoT devices receive Manchester encoded data to determine and calibrate their local clock, using the data or a clock calibration signal for precise timing adjustments in both forward and backward link transmissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If AIoT devices use low-cost local clocks, then device cost is reduced, but clock accuracy deteriorates
Solution Approach 1:
The patent introduces Manchester encoded data as an intermediary carrier that transports timing reference information from the network entity to the AIoT device. This mediator enables the low-cost device to achieve accurate clock synchronization without requiring expensive hardware clocks, as the timing information is embedded within the received data stream.
Solution Approach 2:
The AIoT device performs self-calibration of its local clock by extracting timing information from the Manchester encoded data it receives. The device autonomously measures the duration of received symbols, compares it with its local clock measurements, and adjusts its clock accordingly, eliminating the need for external calibration equipment or expensive precision clocks.
2Measurement precision
If AIoT devices perform clock calibration using received data, then clock accuracy is improved, but processing complexity increases
Solution Approach 1:
The calibration process is designed to be self-executing at the AIoT device without requiring complex external calibration equipment. The device independently measures timing characteristics of received Manchester encoded data, compares these measurements with its local clock, and performs automatic adjustment, thereby improving clock accuracy while keeping the processing architecture relatively simple.
3Adaptability or versatility
If AIoT devices use Manchester encoded data for calibration, then calibration flexibility is improved, but determination complexity increases
Solution Approach 1:
The patent implements a feedback mechanism where the AIoT device measures the actual duration of received Manchester encoded symbols, compares this measurement with the expected duration based on its local clock, and uses this feedback information to determine whether calibration is needed and how to perform it. This feedback loop provides calibration flexibility while systematically managing the determination process.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. Techniques described herein provide for local clock calibration of an ambient internet of things (AIoT) device. In some examples, the AIoT device may receive a forward link transmission including Manchester encoded data. The AIoT device may determine whether to use the Manchester encoded data for calibration of a local clock associated with the AIoT device. The AIoT device may calibrate the local clock based on the determination. The AIoT device may transmit a backward link transmission in accordance with the calibrated local clock. In some cases, the forward link transmission may a clock calibration signal.