BLE Packet Detector Using Frequency-Offset Correlation
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Solution Overview
Problem
Bluetooth Low Energy (BLE) radio systems face challenges in maintaining performance and low power consumption in noisy radio frequency environments due to interference from other home automation technologies like Wi-Fi and ZigBee, requiring an efficient low-complexity and low-power method for packet synchronization.
Innovation Solution
A data detector system with processing circuitry and memory that generates frequency offset estimates and performs complex correlation using in-phase and quadrature signals, employing 1-bit valued coefficients and a correlator to synchronize BLE packets effectively, even in noisy conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional packet detection and synchronization methods are used in BLE systems, then data transmission can be achieved, but power consumption increases significantly during baseband signal processing
Solution Approach 1:
The patent segments the correlation process by pre-calculating and storing coefficients in memory, separating the computationally intensive parts from the real-time detection parts. This allows the system to perform quick lookups during packet detection rather than performing full correlations, significantly reducing power consumption while maintaining synchronization accuracy.
Solution Approach 2:
The patent performs preliminary computation of correlation coefficients and stores them in memory before actual packet detection occurs. This pre-computation approach eliminates the need for repeated heavy calculations during runtime, reducing power consumption during the critical packet detection and synchronization phase while maintaining reliable data transmission.
2Adaptability or versatility
If BLE systems operate in noisy radio frequency environments with interference from other home automation technologies, then coverage and connectivity can be maintained, but signal detection accuracy deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where the correlation output is compared against a threshold, and the system adjusts its detection parameters based on the correlation results. This allows the system to maintain accurate signal detection in noisy environments by continuously optimizing detection based on actual signal characteristics observed during correlation.
Solution Approach 2:
The patent changes detection parameters dynamically based on environmental conditions by using different correlation coefficients stored in memory that correspond to different frequency offsets and signal conditions. This allows the system to adapt to noisy RF environments while maintaining detection accuracy through parameter optimization.
3Use of energy by moving object
If low-power communication techniques are used in BLE radio systems, then battery life extends, but device complexity increases for achieving desired performance
Solution Approach 1:
The patent introduces memory as an intermediary component that stores pre-computed correlation coefficients. This intermediary structure allows the system to avoid repeated complex calculations during packet detection, reducing power consumption while managing complexity through efficient memory access patterns rather than complex real-time computation.
Solution Approach 2:
The patent creates copies of correlation coefficients and stores them in memory for quick access during packet detection. This copying approach allows the system to use simple, low-power lookup operations instead of complex real-time correlation calculations, reducing power consumption while maintaining detection performance through efficient data replication.
Data Source
AI summary
A data detector is disclosed. The data detector includes a memory and processing circuitry interfaced with the memory. The processing circuitry is configured to receive a digital signal representative of a radio frequency signal in the digital domain. The processing circuitry generates a frequency offset estimate derived from the digital signal and outputs the frequency offset to the memory and in turn receives output from the memory a set of coefficients that corresponds to the frequency offset estimate. The processing circuitry then performs a complex correlation between the digital signal and the set of coefficients to determine a maximum peak correlation.