摘要
提出了一种降低Alamouti编码的多输入多输出正交频分复用系统峰均比的半盲选择映射方法.为在发送端降低复杂度以及把边信息嵌入到发送数据中,该方法把输入正交频分复用符号序列分割成交织的子块,并对每一子块利用转换向量生成时域备选信号,然后把每一子块对应的备选信号乘以不同的相位旋转因子后相加生成发送备选信号.在接收端,通过联合检测每一子块对应的相位旋转因子得到边信息,从而在不传输边信息的情况下检测出发送数据.分析与仿真结果表明,与已有的半盲选择映射方法相比,文中方法可以达到更好的边信息检测性能以及相近的降峰均比与误比特率性能,并且收发端的复杂度大大降低.
A semi-blind selected mapping（SLM）scheme is addressed to reduce the peak-average-power ratio（PAPR）of Alamouti coded multiple-input multiple-output orthogonal frequency division multiplexing（MIMO-OFDM）systems.To enable low computational complexity as well as embedding of the side information into the data symbols at the transmitter,the input OFDM symbol sequence is partitioned into several interleaved subblocks,each of which is transformed into time-domain candidate signals by using the conversion vectors,and then the candidate signals for each subblock are multiplied with different phase offset factors and added up to obtain the transmitted candidate signals.At the receiver,the side information can be obtained by jointly detecting the phase offset factors of each subblock and the transmitted data can be detected without transmitting the side information.Analysis and simulation show that the proposed scheme can achieve a better side information detection performance and almost the same PAPR reduction and bit error rate（BER）performance with a much lower complexity at both the transmitter and receiver,as compared to the available semi-blind SLM schemes.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2015年第5期13-19,146,共8页
Journal of Xidian University
基金
国家重点基础研究计划(973计划)资助项目(2014CB340205)
测控通信创新探索基金资助项目(201409B)
关键词
多输入多输出正交频分复用
峰均比
选择映射
边信息
multiple-input multiple-output orthogonal frequency division multiplexing（MIMO-OFDM）
peak-to-average power ratio（PAPR）
selected mapping（SLM）
side information
