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
kexnjdcncnxjs14 分钟前
Redis如何记录每一次写操作_开启AOF持久化机制实现命令级追加记录
jvm·数据库·python
程序媛徐师姐21 分钟前
Python基于Django的小区果蔬预定系统【附源码、文档说明】
python·django·小区果蔬预定系统·果蔬预定·python小区果蔬预定系统·小区果蔬预定·python果蔬预定系统
小何code32 分钟前
人工智能【第8篇】监督学习实战:线性回归与逻辑回归算法详解(万字长文+完整代码实现)
人工智能·python·学习·机器学习·逻辑回归·线性回归
EnCi Zheng34 分钟前
M5-markconv自定义CSS样式指南 [特殊字符]
前端·css·python
刘~浪地球1 小时前
DeepSeek V4 应用实战:构建智能数据分析Agent
python·数据挖掘·数据分析
嘻嘻哈哈樱桃1 小时前
牛客经典101题解题集--贪心算法+模拟
java·python·算法·贪心算法
BU摆烂会噶2 小时前
【LangGraph】持久化实现的三大能力——人机交互
数据库·人工智能·python·langchain·人机交互
.柒宇.2 小时前
AI掘金头条项目部署实践指南
linux·运维·python·fastapi
WL_Aurora2 小时前
Python 算法基础篇之树和二叉树
python·算法