本文選題：MIMO-OFDM　切入點(diǎn)：空頻編碼　出處：《西安電子科技大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：MIMO-OFDM技術(shù)是下一代無(wú)線通信的核心解決方案,空頻分組碼是MIMOOFDM系統(tǒng)的重要組成部分�？疹l分組碼的盲識(shí)別是通信對(duì)抗中迫切需要攻克的領(lǐng)域,具有重要的研究和應(yīng)用價(jià)值。目前MIMO系統(tǒng)中存在的編碼盲識(shí)別方法主要針對(duì)空時(shí)分組碼,主要包括最大似然算法和時(shí)延相關(guān)算法。但最大似然算法對(duì)具有相同分組符號(hào)數(shù)和分組長(zhǎng)度的編碼無(wú)法識(shí)別;時(shí)延相關(guān)算法計(jì)算量隨采樣長(zhǎng)度成倍增加,難以應(yīng)用于實(shí)時(shí)檢測(cè)�？疹l分組碼盲識(shí)別則是一個(gè)新的研究領(lǐng)域,目前還沒有提出實(shí)質(zhì)的檢測(cè)方法。同時(shí),將空時(shí)分組碼盲識(shí)別算法直接應(yīng)用到空頻分組碼的盲識(shí)別中去時(shí),由于兩者使用的分集差異,使得算法無(wú)法在小樣本、低信噪比的應(yīng)用場(chǎng)景下正常工作,不能有效地滿足實(shí)際的工程需要。本文目的就在于針對(duì)現(xiàn)有空頻分組碼盲識(shí)別算法中存在的問(wèn)題,提出一種基于奇異值迭代的空頻分組碼盲識(shí)別方法,以實(shí)現(xiàn)對(duì)空頻分組碼的盲識(shí)別,并且提高算法在小樣本、低信噪比情況下的性能。本文首先簡(jiǎn)述了MIMO-OFDM系統(tǒng)模型及空頻分組碼技術(shù),并就當(dāng)前已有的兩類空時(shí)分組碼盲識(shí)別算法:最大似然算法和時(shí)延相關(guān)算法,進(jìn)行了仿真驗(yàn)證,并根據(jù)結(jié)果進(jìn)行了性能分析。然后,給出了空頻分組碼盲識(shí)別系統(tǒng)的模型,并將編碼盲識(shí)別問(wèn)題成功轉(zhuǎn)化為求編碼分組符號(hào)數(shù)的問(wèn)題,由此提出了一種基于奇異值迭代的空頻分組碼盲識(shí)別方法。通過(guò)對(duì)接收信號(hào)自相關(guān)矩陣的奇異值進(jìn)行有效迭代,增大信號(hào)特征值和噪聲特征值之間的差值,提高系統(tǒng)在小樣本、低信噪比條件下的估計(jì)性能。應(yīng)用Matlab對(duì)該算法的性能進(jìn)行了仿真,驗(yàn)證了算法的正確性和高效性。最后,分析了剩余頻偏對(duì)空頻分組碼盲識(shí)別算法的影響,并根據(jù)分析結(jié)果,提出一種基于剩余頻偏補(bǔ)償?shù)目疹l分組碼盲識(shí)別方法。通過(guò)搜索補(bǔ)償估計(jì)出剩余頻偏的大小,補(bǔ)償觀測(cè)信號(hào)后識(shí)別出空頻分組碼型。在Matlab中對(duì)該算法與不進(jìn)行頻偏補(bǔ)償?shù)乃惴ㄟM(jìn)行了比較仿真,驗(yàn)證了算法的有效性及必要性。
[Abstract]:MIMO-OFDM technology is the core solution of next generation wireless communication, and space-frequency block code is an important part of MIMOOFDM system. It has important research and application value. At present, coding blind recognition methods in MIMO system are mainly aimed at space-time block codes. It mainly includes maximum likelihood algorithm and delay correlation algorithm. However, the maximum likelihood algorithm can not recognize the coding with the same number of block symbols and packet length, and the computation amount of delay correlation algorithm increases exponentially with the sampling length. It is difficult to be applied to real time detection. The blind recognition of space-frequency block codes is a new research field, and no essential detection method has been put forward at present. At the same time, the blind recognition algorithm of space-time block codes is directly applied to blind recognition of space-frequency block codes. Because of the diversity difference between them, the algorithm can not work normally in small sample and low SNR application scenario. The purpose of this paper is to put forward a blind recognition method for space-frequency block codes based on singular value iteration, aiming at the problems existing in existing space-frequency block code blind identification algorithms. In order to achieve blind recognition of space-frequency block codes and improve the performance of the algorithm in the case of small samples and low signal-to-noise ratio (SNR), this paper first describes the MIMO-OFDM system model and space-frequency block code technology. Two existing blind recognition algorithms of space-time block codes, maximum likelihood algorithm and time-delay correlation algorithm, are simulated and verified, and the performance is analyzed according to the results. Then, the model of space-frequency block code blind recognition system is presented. The problem of coding blind recognition is successfully transformed into the problem of the number of coded block symbols, and a blind recognition method of space-frequency block codes based on singular value iteration is proposed. By effectively iterating the singular values of the autocorrelation matrix of received signals, a new method for blind recognition of space-frequency block codes based on singular value iteration is proposed. The difference between the signal eigenvalue and the noise eigenvalue is increased, and the estimation performance of the system under the condition of small sample and low signal-to-noise ratio is improved. The performance of the algorithm is simulated by Matlab, and the correctness and efficiency of the algorithm are verified. The influence of residual frequency offset on the blind recognition algorithm of space-frequency block codes is analyzed. Based on the analysis results, a blind recognition method for space-frequency block codes based on residual frequency offset compensation is proposed. The magnitude of residual frequency offset is estimated by searching compensation. The space-frequency block pattern is recognized after compensating the observed signal. The comparison between the algorithm and the algorithm without frequency offset compensation is carried out in Matlab, which verifies the validity and necessity of the algorithm.
【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)】：TN929.53

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