# fmcw3

**Repository Path**: simonxing/fmcw3

## Basic Information

- **Project Name**: fmcw3
- **Description**: Two RX-channel 6 GHz FMCW radar design files
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-01-06
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 6 GHz two RX channel FMCW radar design files.

For more information see: https://hforsten.com/third-version-of-homemade-6-ghz-fmcw-radar.html

## SAR image formation steps:

Compile Tensorflow custom operations in `pc/sar/sar_op`. See `BUILDING` file in
that directory for the instructions.

`pc/sar/process_sweeps.py` is used to slice the correct time from the measurement file.

`./process_sweeps.py <log file> <start time> <end time> [decimation factor]`

It writes `sweeps.p` file with the data in the format the image formation scripts know how to read.
To form the SAR image run `./backprojection_tf.py sweeps.p` or `./omegak_tf.py sweeps.p`.
Some variables related to the image formation can be found on the top of the image formation scripts.

Example data can be downloaded from: https://hforsten.com/fmcw3/parking_lot_sar.log

Use start and end times of 20 and 136 for it. Decimation factor should be 1 or
2 for backprojection and 2 for omega-k.