GNU Radio使用Python Block实现模块运行时间间隔获取

文章目录

  • 前言
  • [一、timestamp_sender 模块](#一、timestamp_sender 模块)
  • [二、timestamp_receiver 模块](#二、timestamp_receiver 模块)
  • 三、测试

前言

GNU Radio 中没有实现测量两个模块之间的时间测量模块,本文记录一下通过 python block 制作一个很简单的测时 block。


一、timestamp_sender 模块

使用 python block 做一个发送端时间戳记录模块,并添加下面的代码:

python 复制代码
"""
Embedded Python Blocks:

Each time this file is saved, GRC will instantiate the first class it finds
to get ports and parameters of your block. The arguments to __init__  will
be the parameters. All of them are required to have default values!
"""

import numpy as np
from gnuradio import gr
import time
import numpy as np

class timestamp_sender(gr.sync_block):  # other base classes are basic_block, decim_block, interp_block
    """Embedded Python Block example - a simple multiply const"""

    def __init__(self):  # only default arguments here
        """arguments to this function show up as parameters in GRC"""
        gr.sync_block.__init__(
            self,
            name="timestamp_sender",   # will show up in GRC
            in_sig=None,
            out_sig=[np.float32]
        )
        self.kk = 1;
        
        # if an attribute with the same name as a parameter is found,
        # a callback is registered (properties work, too).

    def work(self, input_items, output_items):
        # Record the current time
        start = np.float32(time.perf_counter())
        
        # Output data and the current timestamp (here using a simple value for demonstration)
        output_items[0][:] = [start for _ in output_items[0]]
        
        if self.kk == 1:
            self.kk = 2;
            print(f"output_items[0][:] = {output_items[0][:]}");
        
        return len(output_items[0])

二、timestamp_receiver 模块

使用 python block 做一个接收端时间戳记录模块,并添加下面的代码:

python 复制代码
"""
Embedded Python Blocks:

Each time this file is saved, GRC will instantiate the first class it finds
to get ports and parameters of your block. The arguments to __init__  will
be the parameters. All of them are required to have default values!
"""

import numpy as np
from gnuradio import gr
import numpy as np  # 导入NumPy库
import time

class timestamp_receiver(gr.sync_block):  # other base classes are basic_block, decim_block, interp_block
    """Embedded Python Block example - a simple multiply const"""

    def __init__(self):  # only default arguments here
        """arguments to this function show up as parameters in GRC"""
        gr.sync_block.__init__(
            self,
            name="timestamp_receiver",   # will show up in GRC
            in_sig=[np.float32],
            out_sig=None
        )
        # if an attribute with the same name as a parameter is found,
        # a callback is registered (properties work, too).
        self.kk = 1

    def work(self, input_items, output_items):
        for item in input_items[0]:
            if item == 0:
                continue
            if self.kk == 1:
                self.kk = 2
                end = np.float32(time.perf_counter())
                print(f"input_items[0] = {input_items[0]}")
                print(f"Received at {end}, interval since sent: {(end - item) * 1000000} Microsecond")

        return len(input_items[0])

三、测试

按照下图将 block 进行连接:

采样率 32KHz,延时 320 * 5 = 160000 个采样点,大约 5s 的时间

打印信息:

bash 复制代码
Generating: '/home/gnep/ofdm_usrp/test.py'

Executing: /usr/bin/python3 -u /home/gnep/ofdm_usrp/test.py

Press Enter to quit: output_items[0][:] = [7809.57 7809.57 7809.57 ... 7809.57 7809.57 7809.57]
item = 7809.56982421875
input_items[0] = [   0.      0.      0.   ... 7809.57 7809.57 7809.57]
Received at 7814.44189453125, interval since sent: 4872070.3125 Microsecond

可以看到打印信息为 4872070.3125 ,大约为 5s 时间


我的qq:2442391036,欢迎交流!


相关推荐
前端精髓4 小时前
结构化输出with_structured_output(抽卡)
python·langchain
尹人入圣5 小时前
目前热门的IP驱动产业新场景新工具
网络·python·网络协议·tcp/ip
Nuanyt6 小时前
Agent 学习笔记(下篇三):上线工程、进阶选择与操作界面(Stage 7 / 7.5 / 8 + 延伸路线)
笔记·python·学习·memory·aiagent·harness
吴卫斌6 小时前
定投ETF实战指南(四):行业/主题ETF——定投的“进攻端“
开发语言·python·股票·量化
2601_967987376 小时前
Python——入门级(定义功能def函数)
python·函数·可变参数·默认参数·关键字参数
专注仿真8 小时前
梯度提升类(XFBoost)算法详解与代码实例
开发语言·人工智能·python·算法·大模型训练·控制算法
外收内放8 小时前
Python基础语法练习题(75)
开发语言·python·学习
黑十10 小时前
PyTorch 报 “no CUDA GPUs are available“ 怎么办?3 步排查
服务器·网络·人工智能·pytorch·python
threelab10 小时前
开源图片去水印代码
python
taller_200011 小时前
【012】数据类型入门: Excel 数据到 Python 值的转换
python·excel·pie·py