RF Zero Shot Learning

This repository is intended store the data caode for the RF ZSL Project

data

This folder stores the sample data for testing and experimentation. These file are written as 16-bit signed integers in little endian format. The data is stored in an interleaved real, imaginary, real, imaginary, etc...

File Name	Description
rand_test_10M_100m_0000.bin	random IQ data with sample rate of 10MHz, a duration of 100ms and a maximum value of 2047 and a minimum value of -2048
rand_test_10M_100m_0001.bin	random IQ data with sample rate of 10MHz, a duration of 100ms and a maximum value of 1023 and a minimum value of -1024
rand_test_10M_100m_0002.bin	random IQ data with sample rate of 10MHz, a duration of 100ms and a maximum value of 255 and a minimum value of -256
lfm_test_10M_100m_0000.bin	linear frequency modulation IQ data with sample rate of 10MHz, a duration of 100ms, a starting frequcny of -2Mhz, an ending frequency of 2Mhz and a maximum value of 2047 and a minimum value of -2048
lfm_test_10M_100m_0001.bin	linear frequency modulation IQ data with sample rate of 10MHz, a duration of 100ms, a starting frequcny of -2Mhz, an ending frequency of 2Mhz and a maximum value of 1023 and a minimum value of -1024
lfm_test_10M_100m_0002.bin	linear frequency modulation IQ data with sample rate of 10MHz, a duration of 100ms, a starting frequcny of -2Mhz, an ending frequency of 2Mhz and a maximum value of 255 and a minimum value of -256

Reading the Data

The data can be read in using Python or C++ or any other library that can open and read binary files.

Python: the data can be read in by any number of packages. The numpy package provides a simple one line method to bring in the data and store as a 32-bit float.

import numpy as np
data = np.fromfile("rf_zsl/data/rand_test_10M_100m_0000.bin", dtype=np.int16, count=-1, sep='', offset=0).astype(np.float32)

C++: uses the iostream library.

#include <vector>
#include <fstream>
#include <iostream>

.
.
.

std::vector<int16_t> buffer;

input_file.open("rf_zsl/data/rand_test_10M_100m_0000.bin", std::ios::binary);
if (!input_file.is_open())
    return 0;

input_file.seekg(0, std::ios::end);
size_t filesize = input_file.tellg();
input_file.seekg(0, std::ios::beg);

buffer.resize(filesize / sizeof(int16_t) + (filesize % sizeof(int16_t) ? 1U : 0U));

input_file.read((char*)buffer.data(), filesize);