Bluetooth Receiver Auxiliary Circuit Path for Frequency Interference Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Bluetooth devices face interference from nearby Wi-Fi and other Bluetooth devices in the 2.4 GHz frequency band, affecting communication quality and throughput, necessitating a method to quickly and efficiently select optimal working frequency points for Adaptive Frequency Hopping (AFH).
Innovation Solution
A Bluetooth receiver with a primary and auxiliary circuit path, where the auxiliary path analyzes interference levels across multiple frequency points using Fourier Transformation (FT) to rank and select working frequency points with low signal strengths, creating an AFH channel mapping table for seamless hopping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional frequency detection methods are used to identify optimal Bluetooth frequency points, then interference levels can be evaluated, but additional time slots are required for detection, reducing communication efficiency
Solution Approach 1:
The patent applies preliminary action by performing frequency detection during the initial connection phase or idle periods before actual data transmission begins. The Bluetooth device pre-evaluates all 79 frequency points in the 2.4 GHz band, identifies optimal frequency points with lowest interference, and stores this information for rapid AFH channel mapping without requiring additional time slots during active communication.
Solution Approach 2:
The patent merges the frequency detection function with the existing Bluetooth connection establishment process. Instead of separating detection and communication into distinct time periods, the detection operations are integrated into the connection setup phase, allowing the device to simultaneously complete pairing and frequency characterization without extending total communication time.
2Adaptability or versatility
If Bluetooth devices operate in the 2.4 GHz frequency band, then wireless communication capability is achieved, but interference from Wi-Fi and other Bluetooth devices degrades communication quality and throughput
Solution Approach 1:
The patent implements dynamics by making the Bluetooth frequency selection adaptive rather than static. The device continuously monitors interference levels across all frequency points and dynamically adjusts the AFH channel mapping table based on current environmental conditions. This allows the system to respond to changing interference patterns from Wi-Fi devices and other Bluetooth devices, maintaining optimal performance in varying wireless environments.
Solution Approach 2:
The patent applies parameter changes by modifying the operating frequency parameter based on interference measurements. The system measures signal strength and interference levels at each of the 79 Bluetooth frequency points, then selects and switches to frequency points with most favorable conditions. This parameter optimization enables the device to maintain high-quality communication by continuously adjusting which frequency points are used for data transmission.
3Reliability
If all 79 Bluetooth frequency points are evaluated to ensure optimal frequency selection, then communication quality is maximized, but the complexity and time required for frequency analysis increases
Solution Approach 1:
The patent applies segmentation by dividing the frequency evaluation process into manageable stages. Instead of analyzing all 79 frequency points simultaneously with full computational resources, the system segments the process into: (1) initial rapid scanning to identify obviously poor frequency points, (2) detailed evaluation of promising frequency points, and (3) final selection of optimal points. This segmented approach reduces computational complexity while maintaining comprehensive coverage.
Solution Approach 2:
The patent implements partial action by evaluating frequency points in priority order rather than exhaustively analyzing all points with equal depth. The signal analysis module ranks frequency points based on preliminary interference measurements, then performs more detailed analysis only on the top candidates. This allows the system to achieve sufficient optimization by focusing computational resources on the most promising frequency points rather than uniformly processing all 79 points.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables efficient and rapid selection of working frequency points within a single time slot, reducing interference and maintaining communication quality without additional time slots for detection, thereby enhancing Bluetooth device performance.
Implementation Method 1
a low noise amplifier (LNA) to amplify a radio frequency (RF) modulated signal including a Bluetooth signal
Implementation Method 2
a first mixer, a first Intermediate Frequency (IF) filter and amplifier... a second mixer connected to the LNA
Implementation Method 3
obtaining, by the signal analysis module of the auxiliary circuit path, a Fourier Transformation (FT) spectrum of the second digital IF modulated signal; evaluating, by the signal analysis module, interference levels respectively at the multiple Bluetooth frequency points by analyzing the FT spectrum
Data Source
AI summary
A Bluetooth receiver includes a primary circuit path, which can create a first digital IF modulated signal to obtain a Bluetooth load signal at a current Bluetooth frequency point, and an auxiliary circuit path, in parallel with the primary circuit path, which can create a second digital IF modulated signal in a Bluetooth frequency range across multiple Bluetooth frequency points. A signal analysis module of the auxiliary circuit path may evaluate interference levels of the second digital IF modulated signal at the Bluetooth frequency points, by analyzing a Fourier Transformation (FT) spectrum of the second digital IF modulated signal, and to choose a number of working Bluetooth frequency points corresponding to relative low signal strengths in the FT spectrum. This way may efficiently and quickly choose qualified working Bluetooth frequency points for Adaptive Frequency Hopping (AFH) in a single current time slot, without consuming any additional time slots for detection.