SDR/.history/service/service_20250421112517.py

import json
import uhd
import numpy as np
import threading

from dto.response_dto import ResponseDTO
from model.surveillance_radar import SurveillanceRadar
from model.jammer_radar import JammerRadar

# 定义一组通道常量
CHANNEL_1 = 0
CHANNEL_2 = 1
CHANNEL_3 = 2
CHANNEL_4 = 3

# 定义干扰策略集合，确保集合中的元素为合法的字符串常量
JAMMING_POLICY = {
    "噪声调频", "噪声调幅", "噪声直放", "速度多假目标", "距离多假目标"
}
ANTI_JAMMING_POLICY = {
    "频率捷变", "波形捷变", "自适应极化滤波"
}


class Service:
    usrp = None  # 静态类变量
    status = 0  # 静态类变量
    surveillance_radar = None  # 侦查雷达实例
    jammer_radar = None  # 干扰雷达实例
    _rlock = threading.RLock()  # 可重入锁

    @staticmethod
    def initialize_usrp():
        with Service._rlock:
            Service.get_sdr_status()
            if Service.status == 1:
                print('USRP设备已经初始化')
                return ResponseDTO.SUCCESS({"status": Service.status}).to_json()
            try:
                Service.usrp = uhd.usrp.MultiUSRP()
                print('------SDR Devices initialize success！------')
                Service.surveillance_radar = SurveillanceRadar(Service.usrp, rx=CHANNEL_1, tx=CHANNEL_1)
                Service.jammer_radar = JammerRadar(Service.usrp, rx=CHANNEL_2, tx=CHANNEL_2)
                Service.status = 1
                return ResponseDTO.SUCCESS({"status": Service.status}).to_json()
            except Exception as e:
                print('SDR设备异常', e)
                Service.status = 0  # 初始化失败，状态置为0
                return ResponseDTO.ERROR_MS_DATA('SDR设备异常', {"status": Service.status, "Error": str(e)}).to_json()

    @staticmethod
    def get_sdr_status():
        with Service._rlock:
            if Service.status == 0:
                return ResponseDTO.ERROR_MS_DATA('SDR设备异常',{"status": Service.status, "Error": "SDR设备未初始化"}).to_json()
            try:
                samples = Service.usrp.recv_num_samps(1, 100e6, 1e6, [0], 50)
                if samples is None:
                    Service.status = 0  # 获取状态失败，状态置为0
                else:
                    Service.status = 1
                return ResponseDTO.SUCCESS({"status": Service.status}).to_json()
            except Exception as e:
                print('SDR设备异常', e)
                Service.status = 0  # 获取状态失败，状态置为0
                Service.usrp = None  # 重置USRP对象
                return ResponseDTO.ERROR_MS_DATA('SDR设备异常', {"status": Service.status, "Error": str(e)}).to_json()


    @staticmethod
    def data(payload):
        # 使用已初始化的雷达实例
        surveillance_radar = Service.surveillance_radar
        jammer_radar = Service.jammer_radar
        
        jamming_policy = payload['jamming_policy']
        anti_jamming_policy = payload['anti_jamming_policy']
        # 判断策略是否合法
        if jamming_policy not in JAMMING_POLICY or anti_jamming_policy not in ANTI_JAMMING_POLICY:
            return ResponseDTO.ERROR_MS_DATA('策略不合法', {"status": Service.status, "Error": "策略不合法"}).to_json()
        # 打印对应策略
        print(' jamming_policy:', jamming_policy)
        print(' anti_jamming_policy:', anti_jamming_policy)
        # 根据策略选择算法
        jam_algorithm = Service._get_algorithm_mapping(jamming_policy)
        anti_jam_algorithm = Service._get_algorithm_mapping(anti_jamming_policy)

        # 生成实际干扰信号和抗干扰处理
        surveillance_signal = surveillance_radar.execute_jamming(
            algorithm=jam_algorithm,
            bandwidth=100e6,
            duration=0.1,
            sample_rate=1e6
        ) if jam_algorithm else np.random.randn(100)
        
        processed_signal = jammer_radar.execute_countermeasures(
            rx_signal=surveillance_signal,
            algorithm=anti_jam_algorithm,
            sample_rate=1e6
        ) if anti_jam_algorithm else surveillance_signal
        # 返回结果
        return ResponseDTO.SUCCESS({"jamming_signal": surveillance_signal.tolist(),
                                    "anti_jamming_signal": surveillance_signal_back.tolist(),
                                    "status": Service.status}).to_json()

    @staticmethod
    def send():
        try:
            # 设置中心频率、采样率和增益
            center_freq = 100e6  # 2.4 GHz
            sample_rate = 1e6  # 1 MS/s
            duration = 10  # 以秒为单位
            gain = 20  # [dB] 建议一开始设置小一点，按照实际情况调整
            # 生成发送信号
            num_samples = 100
            tx_signal = np.random.randn(num_samples) + 0.1j * np.random.randn(num_samples)  # 修复部分

            # 发送信号
            Service.usrp.send_waveform(tx_signal, duration, center_freq, sample_rate, [0], gain)

            # 接收信号
            rx_signal = Service.usrp.recv_num_samps(num_samples, center_freq, sample_rate)
            print('信号已发送:')
            print(rx_signal)
            print('信号已接收')
        except Exception as e:
            print('发送或接收信号异常', e)
            Service.status = 0  # 发送或接收信号失败，状态置为0
            Service.usrp = None  # 重置USRP对象

    @staticmethod
    def _get_algorithm_mapping(policy: str) -> callable:
        # 策略与算法映射关系
        algorithm_map = {
            "噪声调频": JammingSignalAlgo.generate_noise_jam,
            "距离多假目标": JammingSignalAlgo.generate_deceptive_jam,
            "频率捷变": AntiJammingSignalAlgo.time_frequency_filter,
            "波形捷变": AntiJammingSignalAlgo.adaptive_filter
        }
        return algorithm_map.get(policy)


# main方法
if __name__ == '__main__':
    Service.initialize_usrp()