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基于窄帶信號(hào)抽樣的信號(hào)高效傳輸
作者:魏建 孫祥娥
來(lái)源:《現(xiàn)代電子技術(shù)》2017年第17期
摘 要: 奈奎斯特抽樣定理是對(duì)頻率寬度有限長(zhǎng)的模擬信號(hào)進(jìn)行數(shù)字化處理的重要定理之
一,而對(duì)于這類(lèi)頻寬有限信號(hào)中的特殊信號(hào),即窄帶信號(hào)而言,依據(jù)奈奎斯特抽樣定理對(duì)信號(hào)
進(jìn)行抽樣時(shí)會(huì)出現(xiàn)一些新問(wèn)題。在指出窄帶信號(hào)存在原因的基礎(chǔ)上,以抽樣信號(hào)的頻譜不混疊
為根本對(duì)窄帶信號(hào)進(jìn)行抽樣,并使其與按照奈奎斯特定理抽樣后的信號(hào)進(jìn)行比較分析。借助通
信原理相關(guān)知識(shí)予以在信道傳輸中進(jìn)行分析,得出信號(hào)經(jīng)窄帶信號(hào)抽樣定理處理后的優(yōu)勢(shì)所
在。
關(guān)鍵詞: 窄帶信號(hào); 窄帶信號(hào)抽樣; 奈奎斯特抽樣定理; 頻譜分析; 通信系統(tǒng)傳輸
中圖分類(lèi)號(hào): TN911.7?34 文獻(xiàn)標(biāo)識(shí)碼: A 文章編號(hào): 1004?373X(2017)17?0064?03
Signal efficient transmission bad on narrowband signal sampling
WEI Jian, SUN Xiang’e
(College of Electronics and Information Engineering, Yangtze University, Jingzhou
434020, China)
Abstract: The Nyquist sampling theorem is one of the important theorems for digital processing
of analog signals with finite frequency width, but has some new problems while sampling the
narrowband signal in the finite bandwidth ones. On the basis of the reason that the available
narrowband signal exists the problems, the narrowband signal is sampled by taking the non?aliasing
frequency spectrum of the sampling signal as the foundation, and compared with the signal after
sampling according to the Nyquist theorem. The signal in channel transmission is analyzed by means
of related knowledge of communication priciple to get the advantages of the narrowband signal
procesd with sampling theorem.
Keywords: narrowband signal; narrowband signal sampling; Nyquist sampling theorem;
spectral analysis; communication system transmission
0 引 言
信號(hào)在各種物理媒體的信道傳輸過(guò)程中,為實(shí)現(xiàn)信號(hào)的無(wú)線傳輸與頻分復(fù)用,需通過(guò)調(diào)制
方式將不同的基帶信號(hào)搬移到不同的頻段上,使多路信號(hào)在通過(guò)同一信道傳輸時(shí)彼此互不干
擾。現(xiàn)代通信系統(tǒng)具有成本低、抗干擾能力強(qiáng)和遠(yuǎn)距離通信等優(yōu)點(diǎn),因此受到人們的重視并且
傳輸頻帶也相對(duì)較窄。在此基礎(chǔ)上,本文通過(guò)窄帶信號(hào)的抽樣來(lái)分析其在信道中的傳輸過(guò)程。

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