LASSO Lab
SUSTech · Dept. of EEE

LASSO

LAboratory of WirelesS communications and System Optimization

Bridging cutting-edge academic research and industrial deployment: dedicated to developing prototype-verified sensing and communication systems, with core focus on integrated sensing and communications (ISAC), simulation-driven RF sensing, cellular & Wi-Fi resource scheduling and standardization.

SECTION // 01

Research Areas

Field Testbed: Multi-Tx Multi-Rx Drone Radar Tracking
AREA // 01

Low-Altitude Drone Sensing via Communication Signals

• Cellular Downlink Passive Sensing
• Low-Altitude Drone Radar (LIPASE)
• Direct-Path Clutter Cancellation

Developing full-spectrum prototype passive radar testbeds by exploiting cellular base station downlinks for low-altitude drone surveillance. Mitigating strong direct-path clutter to achieve real-time 3D airspace localization and trajectory tracking using existing cellular network infrastructures.

Pioneering high-precision contactless wireless sensing using 60 GHz millimeter-wave signals. Exploiting phased-array beamforming and micro-Doppler signatures to reconstruct sub-decimeter fine-grained trajectories, contactless handwriting, and predict dynamic link blockages in non-line-of-sight propagation environments.

AREA // 02

Trajectory Tracking via Millimeter-Wave Passive Sensing

• 60 GHz Phased Array Beamforming
• Micro-Doppler Trajectory Tracking
• Dynamic Link Blockage Prediction
Sivers 60 GHz Phased Array & USRP mmWave Testbed
Wi-Fi Scheduling Optimization and Standards Background
AREA // 03

Wi-Fi Sensing & Network Intelligence

• Doppler-based Active Device Tracking
• Passive Target Tracking & Device Localization
• Learning-based Wi-Fi Resource & QoS Optimization

Developing intelligent Wi-Fi systems that sense, localize, track, and optimize. Our research explores Doppler- and CSI-based sensing for active devices and passive targets, together with learning-driven resource scheduling for adaptive and application-aware Wi-Fi networks.

Electromagnetic Simulator: CASTER 3D Ray-Tracing Engine
AREA // 04

Simulation-Driven RF Sensing

• CASTER 3D Ray-Tracing Simulation Engine
• Synthetic Micro-Doppler Generation
• Sim-to-Real Domain Adaptation

Overcoming physical data acquisition bottlenecks in wireless sensing through high-fidelity electromagnetic simulation. Developing the CASTER 3D ray-tracing channel simulator to generate synthetic micro-Doppler signatures, enabling robust sim-to-real domain adaptation and few-shot human activity recognition.

SECTION // 02

Open Datasets

Providing real-world drone RF scattering IQ signals and GPS flight ground-truth captured in outdoor field tests for research and reproducibility.

LIPASE Passive Drone Tracking Experimental Scenario and Ground-Truth Benchmark
LIPASE Ground-Truth Benchmark
LTE Downlink Raw IQ Signals & Flight GPS Trajectories

Admissions & Opportunities

Led by Associate Professor Rui Wang, our group is actively recruiting Ph.D. and Master's students, Research Assistants (RAs), and Postdoctoral Fellows across Mathematics, Computer Science, Control Engineering, and related disciplines, focusing on prototype-verified ISAC technologies and Wi-Fi standardization.

Disciplines:
Math CS Control Eng. etc.