OFDM系统的训练符号定时同步算法是一种传统的定时算法。
The timing synchronization algorithm of training symbols for the OFDM systems is an old timing algorithm.
在建议的循环训练结构中，所有类型的训练符号被周期性地在每个天线发送。
In the proposed cyclic training structure, all types of training symbols are transmitted cyclically at each antenna.
在子空间法的基础上，利用少量训练符号估计出模糊矩阵，以此矫正子空间法得到的结果。
In this paper, an estimation method for the ambiguity matrix is proposed, which utilizes less training symbols to rectify the results from subspace method.
仿真结果表明，在低信噪比的多径信道下，该算法可通过选择合适的训练符号，使错检概率低于常规算法。
The simulation results indicate under multipath channel for low SNR, the new algorithm has lower probability of failure than the conventional algorithm by adopting proper training symbols.
使用多项式相消编码（PCC）训练符号进行信道估计，利用其频谱陡降的特点减少保护边带宽度，进而降低CIR泄漏。
To overcome the leakage of CIR, the frequency guard bands are reduced by using the polynomial cancellation coding(PCC) training symbols.
针对频偏对PN序列相关性影响比较明显的问题，提出了一种利用FH序列构造的具有共轭对称性质的训练序列进行符号同步的方案。
Due to the obvious impact of frequency offset on PN sequences, based on the FH sequence, a symbol synchronization scheme with a conjugate symmetric training sequence is proposed.
包括注意揭示数学符号的涵义和实质；提供数学语言之间互译的训练。
It includes noticing disclosing the meaning and essence of the mathematics symbol and providing the training of the mutual translating between languages.
本文提出了一种低复杂度的符号定时估计，利用一个训练帧来实现同步。
In this paper, a novel symbol timing estimation algorithm is presented which realizes symbol synchronization by using a symbol.
根据符号点阵创建并训练网络，使网络达到稳定状态，用随机带噪声的符号测试训练的网络。
Lattice under the symbol creation and training network, the network reaches a steady state, the symbol of random noise test with the training network.
根据符号点阵创建并训练网络，使网络达到稳定状态，用随机带噪声的符号测试训练的网络。
Lattice under the symbol creation and training network, the network reaches a steady state, the symbol of random noise test with the training network.
应用推荐