A chaotic neural network for reducing the peak-to-average power ratio of multicarrier modulation

A novel method for the peak-to-average power ratio reduction on multicarrier modulation systems is proposed. The reduction problem is formulated as a combinatorial optimization, and is solved by using the chaotic neural network (CNN), which has easy structure and suitable for real time optimization. Experimental results show that CNN has better performance than conventional methods. Finally we consider relationship between a parameter of CNN and the chaotic behavior.