Microwave Filter Element Removal for Low-Loss Compact Circuits
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Solution Overview
Problem
Conventional microwave filter designs face challenges in achieving a balance between low insertion loss, steep rejection slope, and compact size due to the requirement for low internal resistance in resonators, which often results in increased size and cost, and existing optimization methods fail to reduce the number of circuit elements or change their types effectively.
Innovation Solution
The Element Removal Design (ERD) technique optimizes acoustic wave microwave filters by reducing the number of circuit elements through computer-aided methods, such as Agilent ADS, by identifying and removing insignificant elements and transforming them into static capacitances, thereby improving frequency response and reducing the footprint and cost of the filters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If conventional microwave filter designs use resonators with low internal resistance to achieve low insertion loss, then insertion loss is reduced, but the size and cost of the resonators increase
Solution Approach 1:
The patent extracts and removes insignificant circuit elements (such as series capacitors with very small capacitance values or series inductors with very large inductance values) from the filter design. By identifying elements that have become negligible during optimization and removing them, the design achieves lower insertion loss without requiring oversized resonators, thus resolving the contradiction between energy loss reduction and size increase.
Solution Approach 2:
The patent transforms resonant circuit elements into static capacitances by changing the design parameters during optimization. When a resonant element's resonant frequency moves far from the operating band or its contribution becomes negligible, it is transformed into a simple static capacitor. This parameter change eliminates the need for complex resonator structures while maintaining low insertion loss performance.
2Reliability
If conventional optimization methods are used to improve filter performance, then frequency response is improved, but the number of circuit elements remains unchanged
Solution Approach 1:
The patent systematically identifies and extracts insignificant circuit elements from the filter design during the optimization process. By removing elements that have become negligible (such as capacitors with capacitance values approaching zero or inductors with inductance values approaching infinity), the design achieves improved frequency response with fewer circuit elements, directly resolving the contradiction between reliability improvement and complexity reduction.
Solution Approach 2:
The patent discards insignificant circuit elements that no longer contribute meaningfully to filter performance after optimization. By identifying elements whose values have become negligible during the design process and removing them, the patent recovers design simplicity and reduces component count while maintaining or improving frequency response characteristics.
3Reliability
If more circuit elements are used to achieve steeper rejection slopes, then out-of-band rejection is improved, but the filter footprint and cost increase
Solution Approach 1:
The patent removes insignificant circuit elements that would otherwise increase filter footprint and cost. By identifying elements with negligible impact on performance (such as very small capacitors or very large inductors) and eliminating them, the design achieves steep rejection slopes through optimized remaining elements rather than through sheer component proliferation, thus resolving the contradiction between out-of-band rejection improvement and footprint increase.
Solution Approach 2:
The patent transforms resonant elements into static capacitances when their resonant characteristics are no longer needed for achieving rejection slopes. This parameter transformation allows the filter to achieve steep out-of-band rejection through the interaction of remaining significant elements rather than requiring additional circuit elements, thereby reducing filter footprint while maintaining rejection performance.
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
This approach results in filters with lower insertion loss, steeper rejection slopes, and improved out-of-band rejection, achieving a smaller footprint and lower cost while maintaining traditional manufacturing compatibility, and can be applied to various microwave filter technologies.
Implementation Method 1
acoustic wave microwave filters
Implementation Method 2
resonators, which store energy very efficiently at a resonant frequency
Implementation Method 3
acoustic wave microwave filters
Data Source
AI summary
A method of designing a microwave filter using a computerized filter optimizer, comprises generating a filter circuit design in process (DIP) comprising a plurality of circuit elements having a plurality of resonant elements and one or more non-resonant elements, optimizing the DIP by inputting the DIP into the computerized filter optimizer, determining that one of the plurality of circuit elements in the DIP is insignificant, removing the one insignificant circuit element from the DIP, deriving a final filter circuit design from the DIP, and manufacturing the microwave filter based on the final filter circuit design.


