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
敏编程4 小时前
一天一个Python库:jsonschema - JSON 数据验证利器
python
前端付豪4 小时前
LangChain记忆:通过Memory记住上次的对话细节
人工智能·python·langchain
databook4 小时前
ManimCE v0.20.1 发布:LaTeX 渲染修复与动画稳定性提升
python·动效
花酒锄作田17 小时前
使用 pkgutil 实现动态插件系统
python
前端付豪21 小时前
LangChain链 写一篇完美推文?用SequencialChain链接不同的组件
人工智能·python·langchain
曲幽21 小时前
FastAPI实战:打造本地文生图接口,ollama+diffusers让AI绘画更听话
python·fastapi·web·cors·diffusers·lcm·ollama·dreamshaper8·txt2img
老赵全栈实战1 天前
Pydantic配置管理最佳实践(一)
python
阿尔的代码屋1 天前
[大模型实战 07] 基于 LlamaIndex ReAct 框架手搓全自动博客监控 Agent
人工智能·python
AI探索者2 天前
LangGraph StateGraph 实战:状态机聊天机器人构建指南
python
AI探索者2 天前
LangGraph 入门:构建带记忆功能的天气查询 Agent
python