Wireless Interference Detection With RSSI-Based Gain Control
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Solution Overview
Problem
Devices operating in close proximity and on similar frequencies, such as Bluetooth and Wi-Fi devices, experience interference due to signal overlap in the ISM band, leading to distorted communications, especially in low-bandwidth scenarios where conventional interference mitigation techniques like reducing transmission power or automatic frequency hopping are ineffective.
Innovation Solution
Implementing systems and methodologies for smart external interference detection and avoidance by measuring the Received Signal Strength Indicator (RSSI), adjusting receiver and transmitter gains using automatic gain control, and providing user interface notifications to guide users away from interference regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional interference mitigation techniques (reducing transmission power or automatic frequency hopping) are used, then communication continuity is maintained, but communication reliability deteriorates in low-bandwidth scenarios
Solution Approach 1:
The patent replaces conventional mechanical interference mitigation techniques (power reduction, frequency hopping) with a signal processing-based approach using automatic gain control (AGC) and non-linear distortion suppression. This substitution enables effective interference handling in low-bandwidth scenarios where conventional methods fail, thereby improving communication reliability without sacrificing throughput.
Solution Approach 2:
The patent dynamically adjusts receiver and transmitter gain parameters based on detected interference levels and channel conditions. By continuously optimizing these parameters through automatic gain control, the system maintains high communication reliability while preserving bandwidth efficiency, resolving the contradiction between reliability and productivity.
2Object-affected harmful factors
If transmission power is reduced to avoid interference, then interference to other devices is minimized, but communication reliability deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors the communication channel for interference signals and dynamically adjusts transmitter power and receiver gain accordingly. This feedback loop enables the system to maintain low interference to other devices while ensuring reliable communication, resolving the contradiction between harmful factors and reliability.
Solution Approach 2:
The patent employs dynamic power control and automatic gain adjustment that adapts to changing channel conditions in real-time. This dynamic behavior allows the system to minimize interference when needed while maintaining reliability when signal strength requires it, eliminating the trade-off between the two parameters.
3Object-affected harmful factors
If automatic frequency hopping is used, then interference avoidance is improved, but communication reliability deteriorates in low-bandwidth scenarios
Solution Approach 1:
The patent replaces frequency-hopping-based interference avoidance with a signal processing approach using automatic gain control and non-linear distortion suppression. This substitution is particularly effective in low-bandwidth scenarios where frequency hopping cannot provide sufficient interference avoidance, thereby improving communication reliability while maintaining interference avoidance capabilities.
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
Effectively suppresses non-linear distortion caused by interfering signals, enhances communication reliability by minimizing interference, and provides user guidance to avoid interference zones.
Implementation Method 1
adjusting receiver and transmitter gains using automatic gain control
Implementation Method 2
measuring the Received Signal Strength Indicator (RSSI)
Data Source
AI summary
Techniques described herein are directed toward smart external interference detection and avoidance. An example method includes determining a first received signal strength indicator (RSSI) value of a received first signal across a radio band, wherein the first RSSI value is based at least in part on a second signal transmitted by an interfering device. The first received RSSI value is compared with a threshold value. A first gain adjustment value is determined for a receiver chain of the first computing device and a second gain adjustment value of a transmitter chain based at least in part on the comparison. A first gain of a first amplifier of the receiver chain is adjusted based at least in part on the first gain adjustment value. A second gain of a second amplifier of the transmitter chain is adjusted based at least in part on the second gain adjustment value.