【摘要】：短時(shí)突發(fā)通信因其發(fā)送信號的短時(shí)性和突發(fā)性而具有較強(qiáng)的抗干擾與抗截獲能力,且目前已有多方面的應(yīng)用,諸如潛艇通信和北約國家目前大量裝備的Link16數(shù)據(jù)鏈等。短時(shí)突發(fā)信號(一般只有幾十或幾百個(gè)符號)對于偵察方而言偵察或干擾難度較大,而合作方在接收信號時(shí)難度也要大于一般的長時(shí)間連續(xù)信號。為了減小碼間干擾,降低誤碼率,保證通信質(zhì)量,需要在接收端對短時(shí)突發(fā)信號進(jìn)行信道均衡。本文將針對短時(shí)突發(fā)信號進(jìn)行自適應(yīng)均衡研究。本文主要的工作以及研究成果如下:(1)簡單介紹短時(shí)突發(fā)信號及其主要特點(diǎn)(短時(shí)性和突發(fā)性),根據(jù)其信號特征分析期望的收斂性能,并引出“數(shù)據(jù)重用”的自適應(yīng)均衡思想。(2)簡單介紹“數(shù)據(jù)重用”思想以及基于該思想的代表算法,即仿射投影算法和仿射投影符號算法,闡述了其產(chǎn)生及應(yīng)用背景,并從理論上給出其約束最優(yōu)化模型,分析主要參數(shù)(迭代步長、投影階數(shù))對算法性能的影響。(3)針對仿射投影算法,本文從可變迭代步長、可變投影階數(shù)和組合算法三個(gè)角度進(jìn)行分析。對于可變迭代步長,文中利用矩陣奇異值分解以及偽逆的知識,對常規(guī)的仿射投影算法的迭代公式進(jìn)行修改,然后從均方偏差的角度分析了該修正算法,并推導(dǎo)出可變步長的迭代公式。對于可變投影階數(shù),文中推導(dǎo)出了仿射投影算法的均方偏差的近似表達(dá)式,令均方偏差的增量最小化以確定每次迭代的可變投影階數(shù)。針對組合算法,文中仿照現(xiàn)有的組合算法的思路,自適應(yīng)組合可變步長的仿射投影算法和歸一化最小均方算法,并從均方偏差的角度分析了用于組合的混合參數(shù)。(4)針對仿射投影符號算法,根據(jù)“誤差向量比其符號信息包含更多的關(guān)于未知信道的信息”,文中首先對算法的迭代公式進(jìn)行修改,然后從后驗(yàn)估計(jì)誤差的角度分析該修正算法,并推導(dǎo)出了修正算法的可變步長。(5)對于文中研究的新算法,本文均從理論推導(dǎo)以及計(jì)算機(jī)仿真的角度分析了不同情況下的收斂性能、不同參數(shù)對算法性能的影響,以及處理短時(shí)突發(fā)信號時(shí),應(yīng)該如何設(shè)置這些參數(shù)。(6)對本文工作進(jìn)行了總結(jié)與反思,并對后續(xù)研究方向進(jìn)行了分析與展望。
[Abstract]:Short-time burst communication has strong anti-jamming and anti-interception capability because of its short-time and sudden signal transmission, and has been used in many fields, such as submarine communication and Link16 data link, which is a large number of equipment in NATO countries, and so on. Short-time burst signals (usually only a few dozen or hundreds of symbols) are more difficult to detect or interfere with for the reconnaissance side, while the cooperative side is also more difficult than the conventional long-term continuous signal in receiving the signal. In order to reduce inter-symbol interference (ISI), reduce bit error rate (BER) and ensure communication quality, it is necessary to equalize short-time burst signals at the receiving end. In this paper, adaptive equalization of short-time burst signals is studied. The main work and results of this paper are as follows: (1) briefly introduce the short-time burst signal and its main characteristics (short-time and sudden), and analyze the desired convergence performance according to its signal characteristics. The idea of adaptive equalization of "data reuse" is introduced. (2) the idea of "data reuse" and its representative algorithms, namely affine projection algorithm and affine projection symbol algorithm, are briefly introduced. The constrained optimization model is given theoretically, and the influence of main parameters (iterative step size, projection order) on the performance of the algorithm is analyzed. (3) for affine projection algorithm, the variable iterative step size is used in this paper. Variable projection order and combination algorithm are analyzed from three angles. For the variable iterative step size, the iterative formula of the conventional affine projection algorithm is modified by using the knowledge of matrix singular value decomposition and pseudo inverse, and the modified algorithm is analyzed from the angle of mean square deviation. An iterative formula of variable step size is derived. For variable projection order, the approximate expression of mean square deviation of affine projection algorithm is derived, and the increment of mean square deviation is minimized to determine the variable projection order of each iteration. For the combination algorithm, this paper imitates the existing combination algorithm, adaptively combines the variable step size affine projection algorithm and the normalized least mean square algorithm. The mixed parameters used for combination are analyzed from the angle of mean square deviation. (4) for affine projection symbol algorithm, according to "error vector contains more information about unknown channel than its symbol information", This paper first modifies the iterative formula of the algorithm, then analyzes the modified algorithm from the point of view of the posteriori estimation error, and deduces the variable step size of the modified algorithm. (5) for the new algorithm studied in this paper, In this paper, the convergence performance under different conditions, the influence of different parameters on the performance of the algorithm, and the processing of short time burst signals are analyzed from the angle of theoretical derivation and computer simulation. How to set these parameters. (6) summarize and reflect on the work of this paper, and analyze and prospect the future research direction.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2016
【分類號】：TN911.5

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