In a Counter Insurgency/Counter Terrorism environment, where the life of a soldier is of paramount importance at times of uncertainty while carrying out house clearing drills. It is imperative that they would come across situations wherein there is a presence of a hostile target inside a closed room/house. This research paper encompasses “Through the wall target detection, classification, and range estimation”. Using a two port Vector Network Analyzer (VNA) as a power source, which was initially in the frequency domain was converted to time domain format for better assimilation of target detection and classification. One port of VNA utilized as transmitter and other as receiver, where two dual ridged horn antennas were placed. Also, by carrying out screen mirroring of the VNA with the laptop, the display as well as control of VNA, could be done using a laptop. The experimental results achieved were detection of stationary object/ stationary human being, moving human being, differentiation between stationary human & moving human and also differentiation between armed and unarmed personnel. These results achieved were based on the peak detection and display on the VNA screen/laptop. To achieve algorithm-based detection and classification, signal processing is required to be done depending on the peak detected and also an algorithm for real-time data transfer from VNA to the laptop.