针对多输入多输出正交频分复用图样选择峰均比(peak-to—average.power-ratioPAPR)抑制算法需要传递边带信息的缺点,提出了一种无边带信息传输的图样选择峰均比抑制算法.该算法利用不同分布图样的梳状导频携带加扰相位序列选择信息,结合浅海水声信道的稀疏特性在接收端对加扰图样进行自主区分,实现了无边带信息的图样选择峰均比抑制.仿真和水池实验结果证实:无边带信息传输的图样选择峰均比抑制算法可以在不损失PAPR抑制性能的前提下,准确解算出传输相位序列选择信息、对抗突发噪声、实现无边带信息传输的可靠水声通信.
To overcome the disadvantage of side information transmission, an improved selective mapping algorithm is proposed for peak- to-average power ratio reduction of multiple-input multiple-output orthogonal frequency division multiplexing communication via underwater acoustic channels. The scrambling patterns are carried by comb pilot with different distributions. And taking advantage of neritic channel sparse characteristics, the scrambling patterns can be distinguished without side information. The results of experiment performed with numerical simulation and tank demonstrate that the proposed algorithm can distinguish between scrambling patterns without degrading the performance, abate the burst noise effect, and significantly enhance the quality of the system.