Wireless Avionics TDMA Synchronization Correction
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Solution Overview
Problem
In TDMA-based wireless avionics systems, unsynchronized devices face challenges in computing the correction factor needed to avoid interference with FMCW radio altimeters, as conventional methods rely on pre-computed factory settings that may not account for varying delays in message transmission and processing times.
Innovation Solution
A system where a cognitive master device computes and broadcasts a correction factor based on the total round trip delay, allowing unsynchronized devices to synchronize with the network by adjusting their timeslot counters and slot time clocks, minimizing interference with radio altimeter signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If pre-computed correction factors based on factory settings are used, then device complexity is reduced, but synchronization accuracy deteriorates due to varying transmission delays
Solution Approach 1:
The system performs preliminary actions by having the cognitive master compute correction factors in advance based on round-trip delay measurements. The master device proactively calculates and distributes correction factors to slave devices before they need to synchronize, eliminating the need for each slave device to perform complex real-time calculations while maintaining accurate synchronization.
Solution Approach 2:
The cognitive master acts as an intermediary that centralizes the correction factor computation function. Instead of each slave device independently calculating correction factors (which would increase device complexity), the master mediates by computing and distributing these factors to all slave devices, reducing individual device complexity while maintaining synchronization accuracy through centralized measurement and calculation.
2Ease of manufacture
If factory settings are used for correction factors, then ease of manufacture is improved, but adaptability to varying transmission delays deteriorates
Solution Approach 1:
The system implements dynamics by making correction factors adaptive rather than static. The cognitive master continuously measures round-trip delays and dynamically updates correction factors based on actual transmission conditions. This allows the system to adapt to varying transmission delays while maintaining ease of manufacture, as slave devices simply receive and apply the dynamically computed factors without requiring complex configuration capabilities.
Solution Approach 2:
The system employs feedback mechanisms where the cognitive master measures actual transmission delays and uses this feedback to compute accurate correction factors. The master sends test messages to slave devices, measures the round-trip time, and adjusts correction factors based on this feedback, enabling the system to adapt to varying conditions while keeping device manufacturing simple.
3Measurement precision
If dynamic correction factor computation is implemented, then synchronization accuracy is improved, but device complexity increases
Solution Approach 1:
The system applies segmentation by dividing the correction factor computation task between the cognitive master and slave devices. The master handles the complex measurement and calculation functions, while slave devices perform simpler reception and application of correction factors. This segmentation maintains high synchronization accuracy through dynamic computation at the master while reducing complexity at individual slave devices.
4Ease of operation
If pre-computed correction factors are used, then ease of operation is improved, but reliability of synchronization deteriorates due to timing variations
Solution Approach 1:
The cognitive master performs self-service by autonomously measuring round-trip delays and computing appropriate correction factors without external intervention. The master automatically adjusts correction factors based on measured timing variations, ensuring reliable synchronization while maintaining ease of operation, as slave devices simply receive and apply the correction factors without requiring operational complexity.
Data Source
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AI summary
A wireless device network comprises: an unsynchronized wireless device in a time division multiple access based system; and a cognitive master in communication with the device, wherein the master processor is configured to: determine a number of time slots required for the master to transmit a message to and receive a response from the device, each time slot is a portion of a radio frequency spectrum over a frame period; when the number of time slots required are consecutively available, broadcast an announcement message indicating start of discovery of the unsynchronized device; wherein the device processor is configured to: generate a response message including a device ID; and broadcast the response message to the master; wherein the master processor is configured to: generate a correction factor based on at least one of a master transmit time and a master received time; and broadcast the correction factor to the device.