FMCW Ultra-Low-Signal Measurement Dataset

This dataset (zipped) contains raw data of several fmcw measurements and Python code for data processing. <br> Raw data is contained in following directories, as Matlab '*.mat' files: - "TIA": 10,000 measurements, local oscillator disconnected, RX disconnected - "LO": 10,000 measurements, local oscillator connected, RX disconnected - "d1 large": 5,000 measurements, 50% target at distance d1 - "d2 large": 5,000 measurements, 50% target at distance d2 - "d1": 100,000 measurements, 5% target at distance d1 - "d2": 100,000 measurements, 10% target at distance d2 <br> errata.7z replaces "process_data.py" and pre-computed signal processing. Unpack in the same directory after unpacking the main archive. <br> To process data, run "python process_data.py" in the root directory. <br>本压缩数据集包含多组调频连续波（FMCW）测量原始数据，以及配套的数据处理Python代码。 原始数据以Matlab格式的*.mat文件存储于如下目录： - TIA：共10000组测量数据，本地振荡器（LO）与接收端（RX）均处于断开状态 - LO：共10000组测量数据，本地振荡器（LO）已连接，接收端（RX）处于断开状态 - d1 large：共5000组测量数据，场景中50%的目标位于距离d1处 - d2 large：共5000组测量数据，场景中50%的目标位于距离d2处 - d1：共100000组测量数据，场景中5%的目标位于距离d1处 - d2：共100000组测量数据，场景中10%的目标位于距离d2处 errata.7z可替换原数据处理脚本process_data.py及预计算信号处理流程，请在解压主归档文件后，将其解压至同一目录下。 如需处理数据，请在根目录下执行命令`python process_data.py`。