Two-Stage Signal Filter for Mirror Image Interference Removal
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Solution Overview
Problem
Current low-pass filters in wireless technology face challenges in effectively addressing mirror image interference generated during signal processing, which affects the quality of filtered signals.
Innovation Solution
A two-stage filter configuration is introduced, where the first stage performs low-pass filtering to adjust the signal frequency, and the second stage filters out mirror image interference components by comparing amplitudes with a threshold and sampling specific frequencies to reduce interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single-stage low-pass filter is used to adjust signal frequency, then the filtering operation is simple, but mirror image interference components are generated and cannot be effectively removed
Solution Approach 1:
The filtering operation is divided into two distinct stages: a first low-pass filter for frequency adjustment and a second band-stop filter for mirror image interference removal. This segmentation allows each stage to perform its specific function optimally without compromising the other, resolving the contradiction between simplicity and interference removal effectiveness.
Solution Approach 2:
The first filtered signal serves as an intermediary between the initial signal and the final filtered signal. It contains both the desired signal components and the mirror image interference, allowing the second filter to target and remove only the harmful components while preserving the useful signal.
2Object-affected harmful factors
If a two-stage filter is used to remove mirror image interference, then the signal quality is improved, but the device complexity increases
Solution Approach 1:
By segmenting the filtering task into two specialized stages, each filter can be optimized for its specific function. The first filter handles frequency adjustment with simple low-pass characteristics, while the second filter addresses mirror image interference with band-stop characteristics, making the overall complex system manageable and effective.
Solution Approach 2:
Each filter stage is designed with specific local characteristics tailored to its function: the first filter has low-pass characteristics optimized for frequency adjustment, while the second filter has band-stop characteristics optimized for removing mirror image interference at specific frequency points, achieving high effectiveness despite increased complexity.
3Manufacturing precision
If the first stage filter reduces the upper limit frequency to target bandwidth, then the signal bandwidth is controlled, but mirror image interference is additionally generated
Solution Approach 1:
The first low-pass filter performs a preliminary frequency adjustment that controls bandwidth precision, accepting that this action will generate mirror image interference. The second filter is then designed specifically to address and remove these anticipated interference components, turning a harmful side effect into a manageable intermediate condition.
Solution Approach 2:
The mirror image interference generated by the first filter is converted into a target for the second filter's band-stop operation. By identifying the specific frequency locations of these interference components, the second filter can precisely remove them, transforming the harmful byproduct of the first stage into the focus of the second stage's beneficial interference removal function.
Data Source
AI summary
A two-stage filter is provided. A first stage filter performs a first stage filtering operation on an initial signal to adjust a frequency of the initial signal to output a first filtered signal. A second stage filter is connected to the first stage filter. The second stage filter performs a second stage filtering operation on the first filtered signal to filter an interference component that is generated during the first stage filtering operation from the first filtered signal to output a second filtered signal.