NanoVNA - Very tiny handheld Vector Network Analyzer

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.

jharwinbarrozo/NanoVNA