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针对实际通信信道的时间相关特性,提出了一种基于有限状态向量量化(FSVQ)的信道量化算法。算法首先将信道划分为有限个状态,并为每一状态设计一个码本,码本用来量化从对应状态转移而来的信道。接收机只需要反馈信道向量在状态码本中的量化码字的序号。跟不考虑时间相关的向量量化算法相比,该算法能以相同的反馈负荷获得更高的性能。仿真结果表明,当信道相关系数为0.9,发射天线为6个,发射信噪比为0 dB的时候,该算法能提高接收信噪比性能1 dB。
Aiming at the time-dependent characteristics of the actual communication channel, a channel quantization algorithm based on finite state vector quantization (FSVQ) is proposed. The algorithm first divides the channel into a finite number of states and designs a codebook for each state. The codebook is used to quantify the channel that is shifted from the corresponding state. The receiver only needs to feed back the sequence number of the quantized codeword in the status codebook of the channel vector. Compared with the vector quantization algorithm which does not consider the time correlation, the algorithm can obtain higher performance with the same feedback load. The simulation results show that this algorithm can improve the received signal-to-noise ratio performance by 1 dB when the channel correlation coefficient is 0.9, the number of transmitting antennas is 6, and the transmitted signal-to-noise ratio is 0 dB.