CPW Skeleton Line Extraction for Automated Airbridge Layout
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Solution Overview
Problem
Existing airbridge arrangement methods for chip layouts require manual input of coplanar waveguide (CPW) skeleton lines, leading to low efficiency and limited universality, especially when dealing with asymmetric, discontinuous, or curved CPWs, which can generate parasitic modes affecting line transmission characteristics.
Innovation Solution
An automated method that determines the skeleton line of a CPW based on location information of n points defining the CPW routing, allowing airbridges to be automatically arranged without manual input of the skeleton line, improving efficiency and universality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual input of CPW skeleton lines is required for airbridge arrangement, then arrangement accuracy can be ensured, but airbridge arrangement efficiency decreases
Solution Approach 1:
The system automatically determines the CPW skeleton line by analyzing the geometric characteristics of the CPW structure itself, without requiring external manual input. The skeleton line extraction algorithm processes the CPW geometry data to identify the centerline automatically, enabling the system to serve itself rather than relying on manual operation.
Solution Approach 2:
The manual mechanical process of drawing or inputting skeleton lines is replaced by an automated computational algorithm. The system uses geometric analysis and coordinate processing to determine the skeleton line position, substituting human manual operation with automated computational geometry methods.
2Adaptability or versatility
If preset CPW skeleton lines are used for airbridge arrangement, then arrangement precision is maintained, but method universality is reduced
Solution Approach 1:
The automated skeleton line determination method can handle various CPW configurations including asymmetric, discontinuous, and curved structures. By extracting the skeleton line directly from the CPW geometry rather than requiring preset templates, the method becomes universally applicable to different CPW designs without needing separate preset configurations for each case.
Solution Approach 2:
The system adapts to different CPW configurations by dynamically determining the skeleton line based on the actual geometric parameters of each specific CPW structure. Rather than using fixed preset parameters, the algorithm processes the actual coordinate data and geometric characteristics of each CPW instance to determine the appropriate skeleton line position.
3Productivity
If automated skeleton line determination is implemented, then airbridge arrangement efficiency improves, but computational complexity increases
Solution Approach 1:
The automated skeleton line determination process is divided into distinct computational stages: CPW geometry data acquisition, coordinate information processing, skeleton line point calculation, and skeleton line construction. By segmenting the computational task into manageable stages, the system reduces overall computational complexity while maintaining automation efficiency.
Data Source
AI summary
An airbridge arrangement method for a chip layout includes obtaining location information of n points defining routing of a coplanar waveguide (CPW) to be arranged in the chip layout, n being an integer greater than 1. The method further includes automatically determining a skeleton line of the CPW according to the location information of the n points and according to the chip layout, the skeleton line of the CPW being a center line of a center conductor of the CPW. The method further includes automatically arranging airbridges on the chip layout according to the skeleton line of the CPW.