Satellite Beacon Receiver with Adaptive DFT Bins for Low-SNR Tracking

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Solution Overview

Problem

Existing beacon receivers struggle with accurate frequency estimation and outage handling, especially in environments with phase noise and low Signal-to-Noise Ratio (SNR), including negative SNR conditions.

Innovation Solution

The proposed beacon receiver employs a Digital Fourier Transform (DFT) module with bins of varying sizes for acquisition and tracking, utilizing a generalized complex interpolator to improve frequency accuracy and handle outages with redundancy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If a fixed bin size is used in the DFT module, then the device complexity is reduced, but the measurement precision of frequency estimation deteriorates under varying SNR conditions

Engineering Contradiction:
ImproveDFT module structureVSAvoidfrequency estimation accuracy
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent implements dynamic bin size adjustment in the DFT module based on detected SNR conditions. When SNR is high, a smaller bin size (e.g., 1 Hz) is used for precise frequency tracking. When SNR is low or during acquisition, a larger bin size (e.g., 30 Hz) is used to improve frequency aperture and acquisition robustness. This dynamic adaptation resolves the contradiction by optimizing measurement precision for different operational phases without requiring multiple fixed DFT modules.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent changes the bin size parameter of the DFT module based on operational mode and SNR conditions. The acquisition processor uses a first bin size for initial signal acquisition, then switches to a second bin size for tracking. This parameter change allows the system to achieve both wide frequency aperture during acquisition and high frequency precision during tracking, resolving the contradiction between device simplicity and measurement accuracy.

Inventive Principle:
Principle #35Parameter changes

2Device complexity

If a single beacon signal is used, then the device complexity is reduced, but the reliability of frequency synchronization deteriorates during signal outage

Engineering Contradiction:
Improvebeacon handling systemVSAvoidfrequency synchronization continuity
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The patent implements beforehand cushioning by preparing multiple redundant beacon signal sources and pre-configuring switchable DFT modules for each beacon. When the primary beacon signal experiences an outage, the system can rapidly switch to a secondary beacon without losing frequency synchronization. This pre-prepared redundancy resolves the contradiction by ensuring reliability during outages while maintaining a manageable device architecture through systematic redundancy management.

Inventive Principle:
Principle #11Beforehand cushioning (Prior cushioning)

Solution Approach 2:

The patent implements beacon redundancy where secondary beacons are kept in standby and can be activated when the primary beacon fails. The system discards the failed beacon and recovers synchronization using the redundant beacon signal. This approach ensures continuous frequency synchronization reliability while avoiding the complexity of continuously processing multiple beacons simultaneously.

Inventive Principle:
Principle #34Discarding and recovering

3Measurement precision

If linear interpolation is used to improve frequency estimates, then the measurement precision is improved, but the accuracy deteriorates due to non-linear phase noise effects

Engineering Contradiction:
Improvefrequency estimate resolutionVSAvoidfrequency estimate accuracy
Core Design Contradiction:
Measurement precisionVSManufacturing precision

Solution Approach 1:

The patent implements a feedback-based linearization process where the DFT module detects frequency estimates, the system determines phase noise effects, and then applies corrective adjustments to linearize the frequency estimates. This feedback loop compensates for non-linear phase noise distortions that would otherwise degrade accuracy despite high interpolation precision. The linearization feedback resolves the contradiction by maintaining both high resolution and high accuracy in frequency estimation.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS12334966B2Robust satellite beacon receiver
Publication Date: 2025.06.17 HUGHES NETWORK SYST
  • US12334966B2 patent drawing
  • US12334966B2 patent drawing
  • US12334966B2 patent drawing

AI summary

A beacon receiver including: a Digital Fourier Transform (DFT) module including bins to acquire and to track a beacon signal; an acquisition processor to find acquisition frequency estimates of the beacon signal, to improve the acquisition frequency estimates with a generalized complex interpolator and to linearize the acquisition frequency estimates; and a tracking filter to track the acquired beacon signal and to calculate a tracking frequency estimates; and a synchronization manager to apply a frequency correction, to an oscillator, based on the acquisition frequency estimates or the tracking frequency estimates, wherein the DFT module uses a first bin size for the bins to acquire, a second bin size for the bins to track, and the first bin size is greater than the second bin size.