Unscented Kalman Filter (UKF) applied to FM band passive radar

Author

Ortenzi, L. ; Timmoneri, L. ; Vigilante, D.

Author_Institution

Radar Syst. Anal., SELEX Sist. Integrati, Rome, Italy

fYear

2009

fDate

12-16 Oct. 2009

Firstpage

1

Lastpage

6

Abstract

This paper shows that innovative tracking algorithms improve the state estimation performance of a Passive Covert Radar (PCR) exploiting a single non co-operative frequency modulated (FM) commercial radio station as its transmitter of opportunity. In particular in [1] and [2], it has been stated that particle filtering (PF) is the right choice for tracking the targets of interest in the Cartesian domain. This paper aims at showing that Unscented Kalman Filter (UKF) gives practically same performance with respect to the PF with extremely reduced computational load and unproblematic algorithm setting up.

Keywords

FM radar; Kalman filters; particle filtering (numerical methods); passive radar; state estimation; transmitters; Cartesian domain; FM band passive radar; co-operative frequency modulated commercial radio station; innovative tracking algorithms; particle filtering; passive covert radar; state estimation; target tracking; transmitter; unscented Kalman filter; Band pass filters; Filtering; Frequency estimation; Frequency modulation; Particle tracking; Passive radar; Radar tracking; Radio transmitters; State estimation; Target tracking; PCR; Tracking; UKF; bistaic radar; component;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar Conference - Surveillance for a Safer World, 2009. RADAR. International

Conference_Location

Bordeaux

Print_ISBN

978-2-912328-55-7

Type

conf

Filename

5438493