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

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 tha...

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Bibliographic Details
Published in2009 International Radar Conference "Surveillance for a Safer World" (RADAR 2009) pp. 1 - 6
Main Authors Ortenzi, L., Timmoneri, L., Vigilante, D.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2009
Subjects
Band pass filters
bistaic radar
component
Filtering
Frequency estimation
Frequency modulation
Particle tracking
Passive radar
PCR
Radar tracking
Radio transmitters
State estimation
Target tracking
Tracking
UKF
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Summary: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.
ISBN:9782912328557
2912328551
ISSN:1097-5764
2640-7736