Adaptive Wireless Receiver Tuning for Dynamic Interference
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Solution Overview
Problem
Conventional wireless receivers have fixed sensitivity and selectivity levels, making them unable to adapt to dynamic channel conditions, leading to performance degradation due to interference from spurious signals, resulting in reduced communication range and reception errors.
Innovation Solution
An adaptive radio system with adjustable components, including filters and attenuators, uses an algorithm to calculate the impact of actual interferences and determine optimal receiver parameters, allowing real-time reconfiguration to improve performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional wireless receivers use fixed predetermined sensitivity and selectivity levels, then the receiver design is simple and manufacturing is easier, but the receiver cannot adapt to dynamic channel conditions leading to performance degradation
Solution Approach 1:
The patent implements dynamic reconfiguration of receiver parameters by making filters and attenuators tunable. The filter bandwidth and center frequency, as well as attenuator values, are dynamically adjusted based on measured interference conditions rather than being fixed, allowing the receiver to adapt to changing channel environments.
Solution Approach 2:
The patent changes physical parameters of the receiver components - specifically the filter characteristics (bandwidth, center frequency) and attenuator values - based on measured interference levels. This allows the receiver to optimize its performance by adjusting parameters in response to actual channel conditions rather than operating with fixed parameters.
2Reliability
If conventional receivers use fixed selectivity levels, then the device complexity is reduced, but reception quality deteriorates under harsh channel conditions with spurious signals
Solution Approach 1:
The patent implements a feedback mechanism where the receiver measures actual interference conditions using a spectrum analyzer or similar device, then uses this measurement to automatically adjust filter and attenuator settings. This closed-loop feedback system ensures high reception quality by continuously adapting to interference conditions without requiring complex manual configuration.
Solution Approach 2:
The receiver performs self-configuration by automatically measuring interference conditions and adjusting its own parameters. The system uses built-in measurement capabilities and control algorithms to autonomously optimize filter bandwidth, center frequency, and attenuator values without external intervention, improving reliability while managing complexity through automation.
3Length of moving object
If receiver parameters are predetermined based on general statistics, then manufacturing and deployment is simpler, but communication range is reduced due to inability to account for actual instantaneous interferences
Solution Approach 1:
The patent performs preliminary measurement of interference conditions before finalizing receiver parameter settings. By measuring actual interference levels in the operating environment and pre-adjusting filter and attenuator parameters accordingly, the system optimizes communication range for the specific conditions rather than using generic predetermined settings.
Solution Approach 2:
The patent replaces manual or static configuration methods with automated electronic control systems. Microprocessors or digital signal processors automatically adjust filter and attenuator parameters based on measured interference, substituting complex manual optimization with automated electronic adaptation that extends communication range.
Data Source
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AI summary
A method and device for adaptive performance optimization of wireless receivers operating in dynamic electromagnetic environments are disclosed. The wireless receiver measures the frequency and amplitude of all interference signals that can affect the quality of the desired received signal. Based on the interference signals, the wireless receiver estimates the effects of the interference signals on the desired received signal and mitigates the influence of the interference signals by totally suppressing or at least significantly reducing the interference signals through the use of adjustable components along the receiving chain. By dynamically adapting the receiver's sensitivity and selectivity, the most optimal conditions for receiving the desired signal at each moment are provided.