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Optimizing Parameter Settings of Electronic Components in a Wi-Fi Wireless Module through a Hybrid Procedure

Wi-Fi無線模組電路零組件參數設計最佳化

摘要


Wi-Fi無線模組(Wi-Fi wireless module)的性能與印刷電路板(printed circuit board, PCB)以及電子零組件的規格設定有顯著的關係。傳統上,工程師會參考積體電路(integrated circuit, IC)供應商的電路設計建議,以試誤法決定電子零組件的最佳規格(參數)設定。然而,這樣卻無法保證這些電子零組件的參數設定爲真正的最佳值。本研究利用基因規劃、望想函數及人工免疫系統,提出一個解決多重回應值參數設計問題的整合式演算程序。同時,透過一個改善接收子模組中低雜訊放大器(low noise amplifier, LNA)電路設計的案例,以驗證所提演算法的可行性和有效性。驗證結果顯示信號的所有S參數(S-parameters)都能滿足規格要求,且非常靠近其理想值。因此,本研究所提的整合式演算程序在解決多重品質特性參數設計問題上可被認爲是一種有效的工具。

並列摘要


The performance of a Wi-Fi wireless module depends on the design of circuit that includes printed circuit board (PCB) design and specifications of electronic components. Traditionally, engineers usually refer to the recommended circuit design guides set by the integrated circuit (IC) supplier to select the optimal specification (parameter) settings of electronic components through trial and error. However, this approach cannot guarantee that the parameter settings are truly optimal. To solve such a complicated multi-response parameter design problem, this study proposed an integrated procedure based on genetic programming (GP), desirability functions, and the artificial immune system (AIS). A case study of improving the circuit design of LNA (low noise amplifier) in the receiver sub-module is used to demonstrate the feasibility and effectiveness of the proposed optimization procedure. Results show that all of the S-parameters fulfill the required specifications. Furthermore, each quality characteristic nearly approaches its perfect state. Consequently, the proposed procedure can be considered an effective method of resolving multi-response parameter design problems.

參考文獻


Aggarwal, A.,Singh, H.,Kumar, P.,Singh, M.(2008).Optimization of multiple quality characteristics for CNC turning under cryogenic cutting environment using desirability function.Journal of Materials Processing Technology.205(1-3),42-50.
Batista, L. D.,Guimaraes, F. G.,Ramirez, J. A.(2009).A distributed clonal selection algorithm for optimization in electromagnetics.IEEE Transactions on Magnetics.45(3),1598-1601.
Chakraborty, S.,Bordoloi, R.(2006).Concurrent optimisation of a computer vision system's multiple responses.International Journal of Advanced Manufacturing Technology.28(5-6),577-583.
Chen, W.-C.,Fu, G.-L.,Tai, P.-H.,Deng, W.-J.(2009).Process parameter optimization for MIMO plastic injection molding via soft computing.Expert Systems with Applications.36(2),1114-1122.
Ciglarič, I.,Kidrič, A.(2006).Computer-aided derivation of the optimal mathematical models to study gear-pair dynamic by using genetic programming.Structural and Multidisciplinary Optimization.32(2),153-160.

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