Title :
Doppler geolocation with drifting carrier
Author :
Witzgall, Hanna ; Pinney, Brad ; Tinston, Michael
Author_Institution :
Sci. Applic. Int. Corp., Chantilly, VA, USA
Abstract :
This paper describes a particle filter approach to improve passive Doppler geolocation of non-cooperative radio frequency (RF) emitters from measurements collected on-board a single moving sensor. Existing Doppler-based geolocation techniques assume that the emitter´s carrier frequency is unknown but stable over the course of the triangulation. However, this assumption is often violated by today´s commercial devices that have manufacturing tolerances that allow significant carrier drift, and the application of static optimization procedures to this non-stationary state description often leads to nonsensical answers. This paper proposes a recursive approach based on particle filters that tracks the non-stationary carrier drift while discretely representing the emitter´s multi-modal state space through time to ultimately converge to the true emitter location. The new approach is compared to Newton optimization and extended Kalman filter (EKF) based solutions.
Keywords :
Kalman filters; Newton method; optimisation; particle filtering (numerical methods); radio networks; Doppler geolocation; Newton optimization; carrier frequency; drifting carrier; extended Kalman filter; noncooperative radio frequency emitters; particle filter; static optimization; Approximation methods; Frequency measurement; Kalman filters; Mathematical model; Particle filters; Particle measurements; Proposals;
Conference_Titel :
MILITARY COMMUNICATIONS CONFERENCE, 2011 - MILCOM 2011
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-4673-0079-7
DOI :
10.1109/MILCOM.2011.6127598