LIVING AND NON-LIVING TARGETS DETECTION AND IMAGING FOR THROUGH WALL IMAGING

Abstract

There is still challenge to detect and identifS' various tragets behind the wall with Through Wall Imaging Radar (TWIR) system. Therefore, in this dissertation, main focus was to presents various algorithm for detection and imaging of living and non-living targets with through-the wall imaging (TWI) radar system. Ingeniously developed TWIR is based on stepped frequency continuous wave (SFCW) radar principle and worked in the frequency range 1GHz to 3 GHz, due to use of stepped frequency ultra wideband signal in radar, we can get high range resolution profile of target by which it may possible to separate targets in downrange and in cross-range. When living targets such as human being and non-living targets are present in same environment, there is one basic difference Ir between them which is the micro-Doppler characteristic of living targets that is breathing (0.2-0.8 Hz) and heart beating (0.8-2.5 Hz).The experiment was conducted using R&S HF 906 double ridged waveguide horn antenna, connected to the Anritsu VNA MASTER (MS2028C), this combination is worked as SFCW radar in mono-static mode. Since the through wall applications are such that the capability of the system to perform in real time is important, PC is interfaced with the Vector Network Analyzer (VNA) and data acquisition and processing is carried out in real time. Detection and imaging of living and non-living targets is performed using various techniques. In this work an improvement for Independent Component Analysis (ICA) algorithm has been proposed, by use of this we can detect low dielectric targets, double targets, triple targets when present in same environment. Backprojection algorithm is applied for imaging of targets.