Cubic metric (CM) is a more precise measure to compute the large envelope fluctuations of orthogonal frequency division multiplexing signals. In this study, we use the partial transmit sequence method to reduce the high CM of signals. Despite the dramatic CM reduction ability of the partial transmit sequence method, its computational complexity is very high because of an exhaustive search over all possible combinations of phase factors. In order to overcome the search complexity of the partial transmit sequence method, we introduce an effective and fast convergence optimizer called a chaotic differential search algorithm (CDSA). The CDSA is a population based optimization method to solve the complex, large-scale and non-linear problems. Simulation results show the superiority of the proposed CDSA compared with several counterpart algorithms in terms of search complexity and CM mitigation performance.

立方度量（CM）是一种更精确的度量，用于计算正交频分复用信号的大包络波动。在这项研究中，我们使用部分传输序列方法来降低信号的高CM。尽管部分发射序列方法具有显着的CM降低能力，但由于要在所有可能的相位因子组合上进行详尽搜索，因此其计算复杂度非常高。为了克服部分发射序列方法的搜索复杂性，我们引入了一种有效且快速的收敛优化器，称为混沌差分搜索算法（CDSA）。CDSA是一种基于总体的优化方法，可以解决复杂，大规模和非线性的问题。