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基于耦合矩陣診斷的濾波器設計方法研究

發(fā)布時間:2018-10-21 19:47
【摘要】:微波濾波器是各類微波系統(tǒng)的重要選頻器件。目前,濾波器的結構變得越來越復雜,運用已有的方法設計這類復雜結構的濾波器存在著較大的困難,這就制約了濾波器的進一步發(fā)展。因此,研究一種針對復雜結構濾波器的設計方法具有很強的現(xiàn)實意義。本文的研究是圍繞著如何實現(xiàn)復雜結構濾波器的快速設計而展開的,對耦合矩陣的綜合理論、濾波器的診斷技術、濾波器等效電路模型的建立,以及基于神經(jīng)網(wǎng)絡的空間映射方法作了深入的研究,提出了一種基于耦合矩陣診斷的濾波器設計方法。本文的主要研究內容如下:首先,系統(tǒng)的介紹了耦合矩陣的綜合理論和濾波器的診斷技術。一方面,介紹了耦合矩陣綜合的分析法和優(yōu)化法,它們是設計耦合諧振腔濾波器的基礎。另一方面,介紹了三種分析法診斷技術和一種優(yōu)化法診斷技術,它們可以用來提取濾波器的耦合矩陣。其次,提出了一種建立濾波器等效電路模型的精確方法,該方法對傳統(tǒng)的等效電路模型建立方法進行了改進,即加入了FIR(frequency-invariant reactance)元件。建立的等效電路模型可以用于濾波器的參數(shù)提取,從而確保了參數(shù)提取的準確性。本文運用了兩個例子對提出的等效電路模型建立方法進行了詳細的論證,證明了該方法的合理性。然后,提出了一種基于神經(jīng)網(wǎng)絡的空間映射方法,該方法可用于濾波器的設計,特別是在結構復雜的濾波器設計上顯示出了巨大的優(yōu)勢。另外,針對如何選取樣本點的問題提出了一種全新的樣本點選取方法,該方法可用于神經(jīng)網(wǎng)絡建模時訓練樣本和測試樣本的選取,確保了樣本點選取的合理性,從而能夠利用選取的樣本得到正確的映射。本文通過舉例驗證了提出的樣本點選取方法的合理性。最后,提出了一種基于耦合矩陣診斷的濾波器設計方法,該方法將濾波器的診斷技術與基于神經(jīng)網(wǎng)絡的空間映射相結合,用在了濾波器的設計上。提出的濾波器設計方法是根據(jù)實物測試的響應曲線進行設計的,避開了使用電磁仿真軟件進行優(yōu)化或者驗證,這與以往的濾波器設計方法有著很大的區(qū)別。同時,該方法是一種普適的設計方法,尤其是在復雜結構的濾波器設計上顯示出了巨大的優(yōu)勢。本文以SIW(substrate integrated waveguide)濾波器為例對提出的設計方法進行了充分的驗證,證明了該設計方法的有效性。
[Abstract]:Microwave filter is an important frequency selective device in various microwave systems. At present, the structure of filter becomes more and more complex, and it is difficult to design the filter with existing methods, which restricts the further development of filter. Therefore, it is of great practical significance to study a design method for complex structure filters. The research of this paper is about how to realize the fast design of complex structure filter. The synthesis theory of coupling matrix, the diagnosis technology of filter, the establishment of equivalent circuit model of filter are discussed. A filter design method based on coupling matrix diagnosis is proposed. The main contents of this paper are as follows: firstly, the synthesis theory of coupling matrix and the diagnostic technique of filter are introduced systematically. On the one hand, the analysis method and optimization method of coupling matrix synthesis are introduced, which are the basis of designing coupling resonator filter. On the other hand, three analytical diagnostic techniques and an optimal diagnostic technique are introduced, which can be used to extract the coupling matrix of filters. Secondly, an accurate method to establish the equivalent circuit model of filter is proposed. The traditional equivalent circuit model is improved by adding FIR (frequency-invariant reactance) element. The established equivalent circuit model can be used to extract the parameters of the filter, thus ensuring the accuracy of parameter extraction. In this paper, two examples are used to demonstrate in detail the method of establishing equivalent circuit model, and the rationality of the method is proved. Then, a neural network-based spatial mapping method is proposed, which can be used in the design of filters, especially in the complex structure of the filter design shows great advantages. In addition, aiming at the problem of how to select sample points, a new method of selecting sample points is put forward. This method can be used to select training samples and test samples in neural network modeling, which ensures the rationality of sample points selection. Thus the correct mapping can be obtained by using the selected samples. In this paper, the rationality of the proposed method is verified by an example. Finally, a filter design method based on coupling matrix diagnosis is proposed, which combines the filter diagnosis technique with the spatial mapping based on neural network, and is used in the design of the filter. The proposed filter design method is designed according to the response curve of the physical test, avoiding the use of electromagnetic simulation software for optimization or verification, which is very different from the previous filter design method. At the same time, this method is a universal design method, especially in the complex structure of filter design shows great advantages. In this paper, the SIW (substrate integrated waveguide) filter is taken as an example to verify the proposed design method, and the effectiveness of the proposed design method is proved.
【學位授予單位】:電子科技大學
【學位級別】:碩士
【學位授予年份】:2015
【分類號】:TN713

【參考文獻】

相關碩士學位論文 前1條

1 彭杰;微波濾波器機輔設計與調試技術研究[D];西安電子科技大學;2010年



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