Weighted Pattern Demapper for Bluetooth Low Energy Long Range Synchronization
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Solution Overview
Problem
Bluetooth low energy (BLE) long range (LR) communication systems face limitations in communication range and reliability, requiring enhanced encoding methods and synchronization techniques to maintain effective data transmission over longer distances.
Innovation Solution
A weighted pattern demapper is introduced, which receives signals from a transceiver, demaps bit patterns using weighting coefficients, and synchronizes the transceiver with the receiver based on detected preambles, optimizing symbol timing synchronization and compensating for frequency offsets in Gaussian frequency shift keying (GFSK) modulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Length of stationary object
If Bluetooth low energy long range communication is implemented, then communication range is extended, but communication reliability deteriorates due to interference and noise
Solution Approach 1:
The patent applies parameter changes by introducing weighting coefficients that dynamically adjust the demapping process based on channel conditions. The weighting coefficients modify the contribution of different received signal components during demapping, allowing the system to adapt to varying interference and noise levels while maintaining reliable communication over extended ranges.
Solution Approach 2:
The patent implements feedback mechanisms through the use of preambles and synchronization processes. The receiver detects preambles, determines symbol timing, and feeds back synchronization information to maintain reliable communication. This feedback loop allows the system to continuously adjust to channel variations and maintain communication reliability over long ranges.
2Measurement precision
If weighted pattern demapping is applied, then bit sequence detection accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent manages computational complexity through parameter changes by optimizing the weighting coefficients. Rather than using complex adaptive algorithms, the system employs predetermined or semi-adaptive weighting coefficients that provide improved detection accuracy while maintaining manageable computational requirements for mobile devices.
Solution Approach 2:
The patent applies preliminary action by pre-calculating or pre-determining the weighting coefficients before the actual demapping operation. This allows the complex computational work to be done in advance or using simplified models, reducing the real-time computational burden while still achieving improved bit sequence detection accuracy.
3Reliability
If synchronization techniques are enhanced for long range communication, then communication reliability is improved, but system complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the synchronization process into distinct functional components: preamble detection, symbol timing determination, and frequency offset compensation. This modular approach allows each synchronization function to be implemented independently and optimized separately, managing system complexity while achieving reliable long-range communication.
Solution Approach 2:
The patent implements universality by designing the synchronization mechanism to perform multiple functions simultaneously. The preamble structure and demapping process serve both as synchronization signals and as carriers for data transmission, reducing the need for separate dedicated synchronization channels and thereby limiting the increase in system complexity.
Data Source
AI summary
A method and apparatus are provided. The method includes receiving a signal from a transceiver, demapping a bit pattern encoded within the signal, detecting a preamble based on the demapped bit pattern, and synchronizing the transceiver to a receiver using the preamble, wherein demapping the bit pattern is based on weighting coefficients.