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NanoVNA-H based on edy555 design, provides effective measurements up to 1.5GHz.

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NanoVNA - Very tiny handheld Vector Network Analyzer

DIY的矢量网络分析仪,原项目地址https://github.com/ttrftech/NanoVNA,修改了部分电路,增加了电池管理电路,重新设计了PCB。改进了的频率算法,可以利用si5351的奇次谐波扩展支持到900MHz的测量频率,设计了金属屏蔽片,可以减少外部干扰提高测量精度,si5351直接输出的50K-300MHz频段提供优于70dB的动态。最新版本的rev3.5版本硬件可以扩展到1.5GHz以上,更多信息请参考NanoVNA.com

We remade NanoVNA based on edy555 (https://github.com/ttrftech/NanoVNA) , but modified some circuits, added battery management circuits, and redesigned the PCB. The improved frequency algorithm can use the odd harmonic extension of si5351 to support the measurement frequency up to 900MHz. The metal shield is designed to reduce the external interference and improve the measurement accuracy. The 50k-300MHz frequency range of the si5351 direct output provides better than 70dB dynamic. The latest version of rev3.5 hardware can be extended to above 1.5GHz. For more information, please refer to NanoVNA.com .

编译

Build firmware

NanoVNA-H TARGET = F072

NanoVNA-H4 TARGET = F303

It is recommended to compile with gcc-arm-none-eabi 8, and exceptions may occur with other versions of the compiler. Please sync the CibiOS submodule before compiling.

$ git submodule update --init --recursive

MacOSX

Install cross tools and firmware updating tool.

$ brew tap px4/px4
$ brew install gcc-arm-none-eabi-80
$ brew install dfu-util

Linux

Download arm cross tools from here.

$ wget https://developer.arm.com/-/media/Files/downloads/gnu-rm/8-2018q4/gcc-arm-none-eabi-8-2018-q4-major-linux.tar.bz2
$ sudo tar xfj -C /usr/local gcc-arm-none-eabi-8-2018-q4-major-linux.tar.bz2
$ PATH=/usr/local/gcc-arm-none-eabi-8-2018-q4-major/bin:$PATH
$ sudo apt install -y dfu-util
$ make

Windows

Follow these instructionsto install gnu-mcu-eclipse.

Existing Code as Makefile Projiect. Project > Properties > C/C++ Build > Setting: Confirm that Toolchains is "GNU MCU Eclipse ARM Embedded GCC (arm-none-eabi-gcc)"

Project > Properties > C/C++ Build > Tool Chain Editor:

Current toolchain: ARM Cross GCC
Current builder: Gnu Make Builder

Build Project.

当前版本源码基于**DiSlord**的源码修改,如果编译失败,请参考NanoVNA-D的说明

The source code of the current version is based on the source code modification of DiSlord. If the compilation fails, please refer to [NanoVNA-D](https://github.com/DiSlord/NanoVNA- D) Description

DiSlord/NanoVNA-D#1 (comment)

Debug use Eclipse + cmsis-dap +openocd

Debugger Configurations > GBD OpenOCD Debugging, Double click to create a new setting, Select “Debugger“ label, add config option.

-f NanoVNA_DAP.cfg

感谢edy555创建了这个项目,所有软件版权归edy555所有。 Thanks to edy555 for creating this project, all software copyrights are owned by edy555 https://github.com/ttrftech/NanoVNA; 感谢cho45对项目做出重大改进。 Thanks to cho45 for making major improvements to the project. https://github.com/cho45/NanoVNA

感谢DiSlord对项目的持续改进。 Thanks to DiSlord for continuous improvement of the project https://github.com/DiSlord/NanoVNA-D.

以下为原项目自述

The following is the original project readme

About

NanoVNA is very tiny handheld Vector Network Analyzer (VNA). It is standalone with lcd display, portable device with battery. This project aim to provide an RF gadget but useful instrument for enthusiast.

This repository contains source of NanoVNA firmware.

Prepare ARM Cross Tools

UPDATE: Recent gcc version works to build NanoVNA, no need old version.

MacOSX

Install cross tools and firmware updating tool.

$ brew tap px4/px4
$ brew install gcc-arm-none-eabi-80
$ brew install dfu-util

Linux (ubuntu)

Download arm cross tools from here.

$ wget https://developer.arm.com/-/media/Files/downloads/gnu-rm/8-2018q4/gcc-arm-none-eabi-8-2018-q4-major-linux.tar.bz2
$ sudo tar xfj -C /usr/local gcc-arm-none-eabi-8-2018-q4-major-linux.tar.bz2
$ PATH=/usr/local/gcc-arm-none-eabi-8-2018-q4-major/bin:$PATH
$ sudo apt install -y dfu-util

Fetch source code

Fetch source and submodule.

$ git clone https://github.com/ttrftech/NanoVNA.git
$ cd NanoVNA
$ git submodule update --init --recursive

Build

Just make in the directory.

$ make

Build firmware using docker

Using this docker image without installing arm toolchain.

$ cd NanoVNA
$ docker run -it --rm -v $(PWD):/work edy555/arm-embedded:8.2 make

Flash firmware

First, make device enter DFU mode by one of following methods.

  • Jumper BOOT0 pin at powering device
  • Select menu Config->DFU (needs recent firmware)

Then, flash firmware using dfu-util via USB.

$ dfu-util -d 0483:df11 -a 0 -s 0x08000000:leave -D build/ch.bin

Or simply use make.

$ make flash

Control from PC

See python directory.

Note

Hardware design material is disclosed to prevent bad quality clone. Please let me know if you would have your own unit.

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