A Universal Software Radio Peripheral (USRP) Software Defined Radio (SDR) is a programmable hardware platform developed by Ettus Research that implements radio frequency transceiver functionality through reconfigurable software rather than fixed-purpose circuitry, enabling researchers to capture and manipulate raw wireless signals including CSI with a high degree of flexibility and precision. In the context of WiFi and CSI-based sensing research, USRP SDRs are valued for their ability to access low-level physical layer information that is typically abstracted away by commercial chipsets, making them well-suited for controlled experimental environments and algorithm development. Common variants such as the USRP N210 and USRP B210 differ in bandwidth, frequency range, and interface specifications, and are frequently paired with software frameworks like GNU Radio to form complete signal processing pipelines for human behavior recognition and other sensing tasks.
Source Papers
- A Survey on Human Behavior Recognition Using Channel State Information ↗ — A Survey on Human Behavior Recognition Using Channel State I
- Channel State Information from Pure Communication to Sense and Track Human Motion: A Survey ↗ — Channel State Information from Pure Communication to Sense a
- Deep Learning-Enhanced Human Sensing with Channel State Information: A Survey ↗ — Deep Learning-Enhanced Human Sensing with Channel State Info
- Free Your CSI ↗ — Free Your CSI
- NeRF2: Neural Radio-Frequency Radiance Fields ↗ — NeRF2: Neural Radio-Frequency Radiance Fields
- OPERAnet, a multimodal activity recognition dataset acquired from radio frequency and vision-based sensors ↗ — OPERAnet, a multimodal activity recognition dataset acquired
- Passive WiFi Radar for Human Sensing Using a Stand-Alone Access Point ↗ — Passive WiFi Radar for Human Sensing Using a Stand-Alone Acc
- Time matters: Empirical insights into the limits and challenges of temporal generalization in CSI-based Wi-Fi sensing ↗ — Time matters: Empirical insights into the limits and challen
- Understanding and Modeling of WiFi Signal Based Human Activity Recognition ↗ — Understanding and Modeling of WiFi Signal Based Human Activi