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重点研究
了低信噪比﹑多径瑞利衰落信道条件下，基于高阶累积量的OFDM信号盲识别技
术。提出了利用奇数阶累积量区分OFDM信号与单载波信号的方法，并对基于三
阶和五阶累积量的算法进行了仿真分析。
-﹑ Focus on the low SNR multipath Rayleigh fading channel conditions, based on cumulant OFDM signal blind identification technology. Made a dist
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Single-Channel Blind Identification with FIR Filter Design in Frequency Domain
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提出一种全新的子载波调制方式盲识别算法,该算法利用ＯＦＤＭ子载波组的统计特性,然后通过推导得到新的基于混合高阶矩的特征量,使得到新的特征量不受信噪比、载波频偏与相位偏移的影响。
-Proposed a new sub-carrier modulation count Blind Identification
Method, the method using the statistical characteristics of the OFDM sub-carrier group, an
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This paper helps in Blind Identification and Equalization of MIMO
FIR Channels Based on Subspace Decomposition
and Independent Component Analysis
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Direct sequence spread spectrum (DSSS) communication systems has been widely
used in these years for its advantage of wide spectrum, low working Signal-to-Noise
ratio (SNR), anti-interference, anti-multipath effect and capability of LPI and LPD.
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