Experimental Analysis for Detecting Moving Objects behind Walls using Wi-Vi Technology

Through-wall imaging is a comparatively recent issue in Radio-Frequency (RF) Engineering that employs wireless wall imaging technologies. The recent innovation, Wireless Vision (Wi-Vi) uses Wi-Fi signals to see beyond walls by utilizing the same principles of Wi-Fi transmission. Wi-Fi can also broaden people's senses, allowing them to see through walls and through closed doors to track moving objects. Through Wireless vision can able to count the persons in a closed room and determine where they are in respect to one another. This technology provides through-the-wall virtual imaging radar system by employing the 2.4GHz of Wi-Fi-equipped Software-defined radio (SDR) to observe objects in the motion and their respective contextual locations. The primary goal of Through-wall imaging technique is to acquire a reflective response of that signals while it proceeds through any medium. If a signal is passing across any medium and abruptly reflects back to the Transmitter source. It uses Multiple Input Multiple Output (MIMO) interference nulling to reduce reflections from stationary objects while focusing the receiver's attention on a moving subject. The ability to distinguish between a human and an inanimate item is the key idea. This will be accomplished by measuring the amplitude of the transmission and reception signal. This system sends and receives a signal with respect to the SDR's position using GNU Radio Companion and SDR peripheral devices in order to identify moving things behind walls based on the peak-to-peak amplitude of the received signal. Analyzing the difference in signal strength between the transmitted and received signals can potentially indicate the presence of objects, including humans, behind a wall.