写一段OFDM峰均比优化代码

以下是一个简单的OFDM峰均比优化代码的示例，供参考：

import numpy as np

# OFDM参数
N = 64              # 子载波数
cp_length = 16      # 循环前缀长度
modulation_order = 4    # 调制阶数
pilot_interval = 4  # 信道估计用的导频间隔

# 生成QAM调制映射表
qam_table = {
    4: [-3-3j, -3-1j, -3+3j, -3+1j, -1-3j, -1-1j, -1+3j, -1+1j, 3-3j, 3-1j, 3+3j, 3+1j, 1-3j, 1-1j, 1+3j, 1+1j],
    16: [-3-3j, -3-1j, -3+3j, -3+1j, -1-3j, -1-1j, -1+3j, -1+1j, 3-3j, 3-1j, 3+3j, 3+1j, 1-3j, 1-1j, 1+3j, 1+1j,
         -3-5j, -3-7j, -3+5j, -3+7j, -1-5j, -1-7j, -1+5j, -1+7j, 3-5j, 3-7j, 3+5j, 3+7j, 1-5j, 1-7j, 1+5j, 1+7j],
}

# 生成导频序列
pilot_value = np.array([1, 1j, -1, -1j])
pilot_position = np.arange(0, N, pilot_interval)

def ofdm_transmitter(data):
    # 对数据进行QAM调制
    data_qam = np.array([qam_table[modulation_order][int(i)] for i in data])
    
    # 插入导频
    data_qam_with_pilot = np.zeros(N, dtype=complex)
    data_qam_with_pilot[pilot_position] = pilot_value
    data_qam_with_pilot[~np.in1d(np.arange(N), pilot_position)] = data_qam
    
    # IFFT
    ofdm_time = np.fft.ifft(data_qam_with_pilot)
    
    # 添加循环前缀
    ofdm_time_with_cp = np.concatenate((ofdm_time[-cp_length:], ofdm_time))
    
    # 计算峰均比
    peak_power = np.max(np.abs(ofdm_time_with_cp)) ** 2
    average_power = np.mean(np.abs(ofdm_time_with_cp) ** 2)
    pab_ratio = peak_power / average_power
    
    # 对信号进行功率缩放
    ofdm_time_with_cp = ofdm_time_with_cp / np.sqrt(pab_ratio)
    
    return ofdm_time_with_cp

def ofdm_receiver(ofdm_time_with_cp):
    # 去掉循环前缀
    ofdm_time = ofdm_time_with_cp[cp_length:]
    
    # FFT
    data_qam_with_pilot = np.fft.fft(ofdm_time)
    
    # 删除导频
    data_qam = np.delete(data_qam_with_pilot, pilot_position)
    
    # 对数据进行解调
    data = np.array([np.argmin(np.abs(qam_table[modulation_order] - i)) for i in data_qam])
    
    return data

该代码实现了一个简单的OFDM信号的发送和接收，其中包括QAM调制、导频插入、循环前缀添加、峰均比优化等步骤。需要注意的是，该代码仅供参考，具体实现需要根据实际情况进行调整和优化。