發(fā)布時(shí)間：2018-06-30 07:25

  本文選題：載波估計(jì) + 碼速率估計(jì)　； 參考：《西安電子科技大學(xué)》2014年碩士論文

【摘要】：在通信技術(shù)快速發(fā)展的今天,信息戰(zhàn)已經(jīng)成為現(xiàn)代戰(zhàn)爭(zhēng)必不可少的組成部分。為了能夠適應(yīng)未來(lái)的數(shù)字化戰(zhàn)場(chǎng),通信對(duì)抗技術(shù)的發(fā)展至關(guān)重要,通信對(duì)抗往往是建立在準(zhǔn)確的通信偵查基礎(chǔ)上,即信號(hào)的截獲和分析。只有在準(zhǔn)確了解對(duì)方信號(hào)各參數(shù)的基礎(chǔ)上才能有針對(duì)性的實(shí)施有效的對(duì)抗,因此,信號(hào)參數(shù)的識(shí)別就變得非常重要。其中載波和碼速率的識(shí)別是必不可少的,也是很多后續(xù)識(shí)別的基礎(chǔ)。本文在總結(jié)了前人的研究成果的基礎(chǔ)上,對(duì)各種常見(jiàn)信號(hào)(MASK、MPSK、MFSK、 QAM)的載波和碼速率估計(jì)進(jìn)行了研究。應(yīng)用時(shí)頻分析,小波變換等信號(hào)分析方法,對(duì)不同調(diào)制類型的信號(hào)的載波和碼速率進(jìn)行了識(shí)別。載波估計(jì)方面：結(jié)合現(xiàn)有的方法,使用Welch法對(duì)信號(hào)的功率譜密度進(jìn)行估計(jì)進(jìn)而提取載波頻率,并結(jié)合峰值提取法和頻帶中心法使得識(shí)別精度得到提高。碼速率估計(jì)方面：在含噪聲,成型濾波條件下針對(duì)各種調(diào)制類型的信號(hào)的特點(diǎn)調(diào)整和改進(jìn)原有算法,用邊沿提取-頻譜分析法估計(jì)MASK信號(hào),用最大斜率法估計(jì)MFSK信號(hào),用小波變換法提取PSK信號(hào)的碼速率。同時(shí)提出了不依賴調(diào)制方式的新算法,并分別給出了仿真結(jié)果。
[Abstract]:With the rapid development of communication technology, information warfare has become an indispensable part of modern warfare. In order to adapt to the future digital battlefield, the development of communication countermeasure technology is very important. Communication countermeasure is usually based on accurate communication detection, that is, the interception and analysis of signals. Only on the basis of accurate understanding of each other's signal parameters can we implement effective countermeasures. Therefore, the identification of signal parameters becomes very important. Carrier and code rate recognition is essential and the basis of many subsequent recognition. Based on the previous research results, the carrier and code rate estimation of various common signals (MASK / MPSKK MFSKK, QAM) is studied in this paper. Using time-frequency analysis, wavelet transform and other signal analysis methods, the carrier and code rates of signals with different modulation types are identified. In terms of carrier estimation: Welch method is used to estimate the power spectrum density of the signal and then the carrier frequency is extracted. The recognition accuracy is improved by combining the peak extraction method and the frequency band center method. In the aspect of code rate estimation, the original algorithm is adjusted and improved according to the characteristics of various modulation types under the condition of noise and shaping filtering. The pass signal is estimated by edge extraction and spectrum analysis, and MFSK signal is estimated by maximum slope method. The code rate of PSK signal is extracted by wavelet transform. At the same time, a new modulation-independent algorithm is proposed, and the simulation results are given.
【學(xué)位授予單位】：西安電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN911.23

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本文編號(hào)：2085491