Implementation of an Extrapolated Single-Propagation Particle Filter for Interference Source Localization Using a Sensor Network

Abstract

Global Navigation Satellite System (GNSS) signals are vulnerable to intentional or unintentional Radio Frequency Interference (RFI) due to their low-received signal power levels. In order to geo-locate and track the RFI source(s), distributed network of sensors are used. However, the sensor measurements tend to be corrupted or degraded due to the environment and system noise. In addition, the non-linear nature of the position estimation based on Angle of Arrival (AOA) and Time Difference of Arrival (TDOA) measurements further complicates the problem. This paper presents the hardware design of an extrapolated single-propagation particle filter (ESP-PF). The ESP-PF was proposed to overcome the challenges in RFI source localization based on hybrid AOA and TDOA measurements from and between the sensor nodes, respectively. The performance of this hardware implementation is evaluated and compared with its fully-software counterpart in terms of position estimation accuracy. The results show that the hardware implementation performs comparably with that of the floating-point software-only implementation.