Blind Frequency-Offset Estimation for OFDM/OQAM Systems
Blind Frequency-Offset Estimation for OFDM/OQAM Systems
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DOI：
10.1109/tsp.2006.890824
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发表时间：
2007-05
影响因子：
5.4
通讯作者：
T. Fusco;M. Tanda
中科院分区：
文献类型：
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作者：
T. Fusco;M. Tanda
研究了基于偏移正交幅度调制（OFDM/OQAM）的正交频分复用（OFDM）系统中载波频偏（CFO）的盲估计问题。具体地，通过假设副载波的数量足够大，接收信号被建模为复高斯随机向量（CGRV）。由于OFDM/OQAM信号导致非循环（NC）过程（即，它的关系函数不为零），利用NC-CGRV的广义概率密度函数，推导了非色散信道下CFO估计的无条件最大似然算法。此外，由于其计算复杂性，更可行的估计被认为是。通过计算机模拟评估所提出的估计器的性能，最近提出的CFO估计器利用二阶循环平稳性和高斯Crameacuter-Rao界进行比较
This paper deals with the problem of blind carrier-frequency offset (CFO) estimation in orthogonal frequency-division multiplexing (OFDM) systems based on offset quadrature amplitude modulation (OFDM/OQAM). Specifically, by assuming that the number of subcarriers is sufficiently large, the received signal is modeled as a complex Gaussian random vector (CGRV). Since the OFDM/OQAM signal results to be a noncircular (NC) process (i.e., its relation function is different from zero), by exploiting the generalized probability density function for NC-CGRVs, the unconditional maximum-likelihood algorithm for CFO estimation in nondispersive channel is derived. Moreover, due to its computational complexity, a more feasible estimator is considered. The performance of the proposed estimators, assessed via computer simulation, is compared with that of recently proposed CFO estimators exploiting second-order cyclostationarity and with the Gaussian Crameacuter-Rao bound