本文選題：LTCC + 隱式空間映射算法�。� 參考：《浙江工業(yè)大學》2015年碩士論文

【摘要】：人們對電子設備尤其是移動設備的小型化需求不斷提高,使得低溫共燒陶瓷(LTCC,Low Temperature Co-fired Ceramic)技術(shù)作為一種上佳的封裝技術(shù)而倍受工程師們的青睞。低溫共燒陶瓷技術(shù)是在多層陶瓷基板上埋置無源組件,經(jīng)過疊壓共燒成三維結(jié)構(gòu),從而實現(xiàn)器件的小型化。此技術(shù)已被廣泛應用于制作巴倫、濾波器和天線等功能器件。本文主要研究LTCC帶通濾波器的設計和優(yōu)化,并應用改進的隱式空間映射算法較好的解決了LTCC三維結(jié)構(gòu)電磁仿真耗時長和優(yōu)化方向不確定的問題,其主要工作有:1、選擇切比雪夫低通原型濾波器,經(jīng)過頻率變換、元件變換以及J/K倒置變換器,得到要設計的微波頻段上建模的帶通濾波器集總電路,再結(jié)合傳輸零點方法和傳輸線理論,設計出4層LTCC微帶濾波器。2、對空間映射算法進行了較深入的研究,重點著眼于本文所采用的隱式空間映射算法,并針對其在參數(shù)提取過程中出現(xiàn)的參數(shù)非唯一性問題,采用頻率參數(shù)提取的方法進行了較好的解決,并設計了平行耦合微帶濾波器,以此說明改進算法的有效性。3、采用HFSS搭建算法中所需的精細模型(fine model),用ADS中的多層元件庫來實現(xiàn)相對應的粗糙模型(coarse model),通過采用了頻率參數(shù)提取的隱式空間映射算法對模型進行不斷的迭代優(yōu)化,最終得到符合設計要求的帶通濾波器,并與隱式空間映射算法的效能進行了比較。最終頻率隱式空間映射算法經(jīng)過了5次迭代后收斂,而隱式空間映射算法經(jīng)過了7次迭代后才收斂。所設計的帶通濾波器外形尺寸為2.5 mm?2.0mm?0.9 mm,中心頻率為2.45GHz,帶寬為100MHz,可應用于藍牙和無線局域網(wǎng)(WLAN)頻段。仿真優(yōu)化的結(jié)果證明頻率隱式空間映射算法相比一般隱式空間映射算法,收斂更快,優(yōu)化成本更低。且兩種算法相比參數(shù)掃描方式,較好地解決了LTCC濾波器仿真優(yōu)化耗時長和優(yōu)化方向不明確的問題。
[Abstract]:Due to the increasing demand for miniaturization of electronic devices, especially mobile devices, LTCC low Temperature Co-fired Ceramic-based technology is favored by engineers as a kind of excellent packaging technology. Low-temperature co-fired ceramic technology is to bury passive components on multilayer ceramic substrates and to achieve the miniaturization of devices by laminating and co-firing into three-dimensional structures. This technology has been widely used in the manufacture of Barron, filters and antennas and other functional devices. This paper mainly studies the design and optimization of LTCC bandpass filter, and solves the problems of long time consuming and uncertain optimization direction of LTCC 3D structure electromagnetic simulation by using the improved implicit space mapping algorithm. The main work is to select Chebyshev low-pass prototype filter, through frequency conversion, component transformation and J- / K inversion converter, to obtain the lumped circuit of the bandpass filter which is to be modeled on the microwave frequency band. Combined with the transmission zero method and transmission line theory, a 4-layer LTCC microstrip filter .2is designed, and the spatial mapping algorithm is studied deeply, focusing on the implicit spatial mapping algorithm used in this paper. Aiming at the non-uniqueness of parameters in the process of parameter extraction, the method of frequency parameter extraction is used to solve the problem, and a parallel coupled microstrip filter is designed. This shows the effectiveness of the improved algorithm. 3. The fine model needed in the algorithm is built with HFSS, and the corresponding coarse model is implemented by using the multilayer component library in ADS. The implicit spatial mapping based on frequency parameter extraction is adopted. The algorithm performs iterative optimization of the model. Finally, the bandpass filter which meets the design requirements is obtained, and the performance of the implicit space mapping algorithm is compared. The final frequency implicit space mapping algorithm converges after 5 iterations, while the implicit space mapping algorithm converges after 7 iterations. The designed bandpass filter has a size of 2.5 mm?2.0mm?0.9 mm, a central frequency of 2.45 GHz and a bandwidth of 100 MHz. It can be used in Bluetooth and WLAN (WLAN) band. The simulation results show that the frequency implicit spatial mapping algorithm has faster convergence and lower optimization cost than the general implicit spatial mapping algorithm. Compared with the parameter scanning method, the two algorithms can solve the problems of long time consuming and unclear optimization direction of LTCC filter simulation.
【學位授予單位】：浙江工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TN713

【參考文獻】

相關(guān)期刊論文 前1條

1 康連生;馬增剛;賈霞彥;陳軍;;LTCC疊片工藝技術(shù)研究[J];電子工業(yè)專用設備;2010年05期

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本文編號：1906656