Research Overview

My main research focus is on the design of signal processing/learning algorithms and sensing systems for extracting useful information from wireless signals that include E/M radiation (RF,optical,IR), acoustic waves, varying electric or magnetic fields, etc. Recently, I started to apply this class of algorithms for a) improving wireless communication privacy, b) passive RADAR sensing, c) understanding signals that originate from deep space (from space probes or natural sources).

Passive sensing of wireless signals

  • Find passively the Doppler (velocity) and Azimuth of an digital communication RF transmitter (IEEE SAM 22) [PDF Preprint].

  • How many antennas does a wireless transmitter use and what is its Azimuth relative to a passive receiver? [IEEE Phased Array Conference 22]. How about the same questions for several transmitters?[URSI 22].

  • How many antennas and what modulation type does a digital wireless transmitter use? [Arxiv Preprint]

  • Understand RF jamming passively: Estimate the jammer's speed [SeCoNe 2019], Classify RF Jamming attacks in VANETs [Vehicular Comms 2018]

  • Detect whether a wireless signal comes from a wireless transmitter or is a target reflection. (RadarConf23 b) [Arxiv].

Wireless self-jamming for privacy

  • Spoof the real Doppler (velocity) and range of an OFDM wireless transmitter [RadadConf23b ].

  • Prevent passive sensing of human micro-Dopper signatures, [IEEE Access PDF].

  • Insert artificial frequency variations in a wireless so that an eavesdropper cannot demodulate successfuly [Paper@Elsevier] [PDF Preprint] or it cannot even understand what type it is [MILCOM24].

Active RADAR, Joint RADAR Communication (JRC), Integrated Sensing and Communication (ISAC)

  • Detect false targets in OFDM-based JRC systems. (RadarConf23 b) [Arxiv].

  • A Replay Attack Against ISAC Based on OFDM [IEEE PDF].

Security and privacy in wireless communication

Space communications & Radio Astronomy