python干扰机仿真

可以使用Python编写干扰机仿真程序，以下是一个简单的例子：

import random

# 定义仿真参数
num_packets = 1000  # 发包数量
packet_size = 100  # 每个数据包大小（字节）
bit_error_rate = 0.01  # 误码率
interference_prob = 0.05  # 干扰概率

# 模拟传输过程
sent_packets = [bytes([random.randint(0, 255) for _ in range(packet_size)]) for _ in range(num_packets)]
received_packets = []
for packet in sent_packets:
    # 模拟误码率
    received_packet = bytearray(packet)
    for i in range(packet_size):
        if random.random() < bit_error_rate:
            received_packet[i] ^= 0xFF
    # 模拟干扰
    if random.random() < interference_prob:
        received_packet[random.randint(0, packet_size - 1)] ^= 0xFF
    received_packets.append(bytes(received_packet))

# 统计结果
num_errors = sum(1 for i in range(num_packets) if sent_packets[i] != received_packets[i])
error_rate = num_errors / num_packets
print(f"发送数据包数量：{num_packets}")
print(f"每个数据包大小：{packet_size} 字节")
print(f"误码率：{bit_error_rate}")
print(f"干扰概率：{interference_prob}")
print(f"错误数据包数量：{num_errors}")
print(f"错误率：{error_rate}")

该程序模拟了发送数据包并在传输过程中模拟误码率和干扰。最后统计错误数据包数量和错误率。可以通过调整仿真参数来观察不同条件下的干扰效果。