Passive WLAN radar network using compressed sensing

Distributed multisensor networks constructed of homogeneous sensors, sometimes called Multiple-Input-Multiply-Output (MIMO), offer several advantages compared to classical monostatic radars. As they illuminate targets from various aspects angles and as reflections are received from several locations simultaneously these distributed homogeneous sensor networks easily outperform Single-Input-Single-Output (SISO) systems. Target detection and parameter estimation is dramatically improved due to this spatial diversity. Hence, such homogeneous sensor networks are attracting more and more researchers. This paper proposes a homogeneous sensor network composed of several distributed Wireless Local Area Networks (WLAN) routers as transmitters and dedicated receivers for detecting multiple targets and estimating their location and velocity with high accuracy. Compressed sensing is applied to reduce the sample rate dramatically, which has to be transferred to a central processing unit.