Multitarget detection using high-resolution passive radar sensor networks (HRPRSN)

In this paper we propose a new type of radar sensor network (RSN) - high-resolution passive radar sensor network (HRPRSN) that consists of 1 transmitter and several passive radar sensors (RSs). The use of high-resolution RS will increase the probability of separating targets in range. However, we prove in this work that one RS can not detect all targets from time to time, thus spatial diversity is necessary to improve the detection performance. Passive RSN is proposed due to the fact that it highly reduces interferences and improves safety. The HRPRSN model for multitarget detection, to the best of our knowledge, is proposed for the first time. The relations between each RS and target are revealed via analysis on time-delay, Doppler shift, target range resolution, etc. Simulation results demonstrate the performance advantage in HRPRSN for multitarget detection in terms of probability of detection (P_d) and probability of false alarm (P_f). Unlike single RS that P_d and P_f must increase or decrease together, HRPRSN can achieve high P_d and low P_f simultaneously.