本文關鍵詞：可變頻帶數(shù)字帶通濾波器設計方法研究　出處：《內蒙古大學》2015年碩士論文　論文類型：學位論文

  更多相關文章： 中心頻率估計 帶寬估計 可變頻帶 數(shù)字帶通濾波器

【摘要】：信號進行發(fā)送傳播的過程中都一定程度的產生其他的無用信號成分。所以我們面臨帶有噪聲的原始信號中提取有效信號是濾波技術的核心所在,也是現(xiàn)代通信信號處理中涉及的必要環(huán)節(jié)�，F(xiàn)代通信領域中濾波器是非常廣泛應用的器件之一,濾波器進行設計時一般用硬件、算法、軟件來實現(xiàn)。數(shù)字濾波器與模擬濾波器相比有很多優(yōu)點,比如精度高、穩(wěn)定性好、體積小、成本低、工作效率高等。有限長脈沖響應濾波器的穩(wěn)定性好。本論文研究了可變頻帶有限長脈沖響應濾波器的設計法。它跟普通的數(shù)字FIR濾波器相比靈活性高,且不用反復離線設計新的濾波器也能得到所需理想的頻域特性,這也是可變頻帶數(shù)字帶通濾波器的非常重要的優(yōu)點。所以研究可變頻帶數(shù)字FIR濾波器設計法有很大的研究價值。在設計可變頻帶數(shù)字帶通濾波器時,首先估計接受信號的帶寬和中心頻率。其次,根據接受信號的中心頻率和帶寬來計算FIR濾波器的參數(shù)。最后,掌握參數(shù)以后選用合適的濾波器設計法來設計所需的濾波器。因為每次估計的帶寬和中心頻率不同所以計算出的濾波參數(shù)也不同。以上的三個步驟是本文所設計的可變頻帶濾波器的整個過程。本文進行分析了幾種常用的中心頻率和帶寬估計法后發(fā)現(xiàn)這幾種估計法都有一定的局限性,且低信噪比的情況下估計準確度都不高。所以研究了基于迭代方法的改進的中心頻率估計法、Welch方法的帶寬估計法。Welch的帶寬估計法比修正協(xié)方差法和MUSIC法等常用法比起來穩(wěn)定性好,精度高�；诘ǖ闹行念l率估計法跟其他常用法相比測量的頻率范圍廣、運算簡單、低信噪比的情況下也精確估計帶寬等優(yōu)點。所以可變頻帶數(shù)字帶通FIR濾波器有很廣的應用前景。而且,隨著通信信號處理的持續(xù)發(fā)展和新結構、新算法的不斷提出,數(shù)字濾波器滿足更高的應用要求且性能也將變得越來越好。
[Abstract]:In the process of signal transmission and propagation, other useless signal components are produced to a certain extent, so we are faced with the original signal with noise to extract the effective signal is the core of the filtering technology. Filter is one of the most widely used devices in the field of modern communication. The filter is generally used in hardware and algorithm when it is designed. Compared with analog filter, digital filter has many advantages, such as high precision, good stability, small size and low cost. The finite length impulse response filter has good stability. In this paper, the design method of variable band finite length pulse response filter is studied. It is more flexible than the conventional digital FIR filter. Moreover, the desired frequency domain characteristics can be obtained without repeated off-line design of new filters. This is also a very important advantage of the frequency band digital band-pass filter, so it is of great value to study the design method of the variable-band digital FIR filter. In the design of the variable-band digital band-pass filter. First, the bandwidth and the central frequency of the received signal are estimated. Secondly, the parameters of the FIR filter are calculated according to the center frequency and bandwidth of the received signal. After mastering the parameters, choose the appropriate filter design method to design the required filter. Because the bandwidth and center frequency of each estimation are different, the filter parameters calculated are different. The above three steps are designed in this paper. In this paper, we analyze several common methods of center frequency and bandwidth estimation, and find that these methods have some limitations. And the estimation accuracy is not high in the case of low SNR. Therefore, an improved center frequency estimation method based on iterative method is studied. The bandwidth estimation method of Welch method. Welch's bandwidth estimation method is more stable than that of modified covariance method and MUSIC method. Compared with other common methods, the center frequency estimation method based on iterative method has a wide frequency range and simple operation. In the case of low signal-to-noise ratio (SNR), the bandwidth can be estimated accurately. Therefore, the frequency-band digital band-pass FIR filter has a wide application prospect. Moreover, with the continuous development of communication signal processing and new structure. With the development of new algorithms, digital filters can meet higher application requirements and the performance will become better and better.
【學位授予單位】：內蒙古大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TN713.5

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