本文關(guān)鍵詞：可變頻帶數(shù)字帶通濾波器設(shè)計(jì)方法研究　出處：《內(nèi)蒙古大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

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

【摘要】：信號(hào)進(jìn)行發(fā)送傳播的過程中都一定程度的產(chǎn)生其他的無用信號(hào)成分。所以我們面臨帶有噪聲的原始信號(hào)中提取有效信號(hào)是濾波技術(shù)的核心所在,也是現(xiàn)代通信信號(hào)處理中涉及的必要環(huán)節(jié)。現(xiàn)代通信領(lǐng)域中濾波器是非常廣泛應(yīng)用的器件之一,濾波器進(jìn)行設(shè)計(jì)時(shí)一般用硬件、算法、軟件來實(shí)現(xiàn)。數(shù)字濾波器與模擬濾波器相比有很多優(yōu)點(diǎn),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(yīng)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(yīng)濾波器的設(shè)計(jì)法。它跟普通的數(shù)字FIR濾波器相比靈活性高,且不用反復(fù)離線設(shè)計(jì)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(diǎn)。所以研究可變頻帶數(shù)字FIR濾波器設(shè)計(jì)法有很大的研究價(jià)值。在設(shè)計(jì)可變頻帶數(shù)字帶通濾波器時(shí),首先估計(jì)接受信號(hào)的帶寬和中心頻率。其次,根據(jù)接受信號(hào)的中心頻率和帶寬來計(jì)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(shè)計(jì)法來設(shè)計(jì)所需的濾波器。因?yàn)槊看喂烙?jì)的帶寬和中心頻率不同所以計(jì)算出的濾波參數(shù)也不同。以上的三個(gè)步驟是本文所設(shè)計(jì)的可變頻帶濾波器的整個(gè)過程。本文進(jìn)行分析了幾種常用的中心頻率和帶寬估計(jì)法后發(fā)現(xiàn)這幾種估計(jì)法都有一定的局限性,且低信噪比的情況下估計(jì)準(zhǔn)確度都不高。所以研究了基于迭代方法的改進(jìn)的中心頻率估計(jì)法、Welch方法的帶寬估計(jì)法。Welch的帶寬估計(jì)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。基于迭代法的中心頻率估計(jì)法跟其他常用法相比測量的頻率范圍廣、運(yùn)算簡單、低信噪比的情況下也精確估計(jì)帶寬等優(yōu)點(diǎn)。所以可變頻帶數(shù)字帶通FIR濾波器有很廣的應(yīng)用前景。而且,隨著通信信號(hào)處理的持續(xù)發(fā)展和新結(jié)構(gòu)、新算法的不斷提出,數(shù)字濾波器滿足更高的應(yīng)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(xué)位授予單位】：內(nèi)蒙古大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TN713.5

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