SDR/.history/model/jammer_radar_20250421170836.py

import numpy as np
from scipy.signal import find_peaks
# ==================== 干扰雷达类 ====================
class JammerRadar:
    def __init__(self, usrp, rx, tx):
        self.usrp = usrp
        self.rx = rx
        self.tx = tx

    def generate_jamming_signal(self, algorithm: callable, bandwidth: float, sample_rate: float, duration: float, gain: float) -> np.ndarray:
        """
        自主生成干扰信号
        :param algorithm: 干扰算法
        :param bandwidth: 信号带宽 (Hz)
        :param sample_rate: 采样率 (Hz)
        :param duration: 信号持续时间 (秒)
        :param gain: 增益 (dB)
        """
        # 生成基带噪声信号
        num_samples = int(duration * sample_rate)
        base_signal = np.random.randn(num_samples) * 0.1 * gain
        
        # 应用干扰算法
        jamming_signal = algorithm(
            base_signal=base_signal,
            bandwidth=bandwidth,
            sample_rate=sample_rate
        )
        return jamming_signal.astype(np.complex64)

    def execute_jamming(self, algorithm: callable, bandwidth: float, sample_rate: float, duration: float, gain: float) -> np.ndarray:
        """
        执行自主干扰生成
        :param algorithm: 干扰算法
        :param bandwidth: 信号带宽 (Hz)
        :param sample_rate: 采样率 (Hz)
        :param duration: 信号持续时间 (秒)
        :param gain: 增益 (dB)
        """
        return self.generate_jamming_signal(
            algorithm=algorithm,
            bandwidth=bandwidth,
            sample_rate=sample_rate,
            duration=duration,
            gain=gain
        )

    #封装一个发送信号的函数
    def send_signal(self, tx_signal, duration, center_freq, sample_rate, gain):
        # 发送信号
        self.usrp.send_waveform(tx_signal, duration, center_freq, sample_rate, self.tx, gain)
        print('干扰雷达已发送信号')

    # 封装一个接收信号的函数
    def recv_signal(self, num_samples, sample_rate, center_freq):
        rx_signal = self.usrp.recv_num_samps(num_samples, center_freq,sample_rate,self.rx)
        print('干扰雷达已接收信号')
        return rx_signal