DocumentCode :
450998
Title :
CRLB with Pd<1 fused tracks
Author :
Farina, A. ; Timmoneri, L. ; Immediata, S. ; Ristic, B.
Author_Institution :
AMS, Rome, Italy
Volume :
1
fYear :
2005
fDate :
25-28 July 2005
Abstract :
This paper presents mathematical procedures to calculate the Cramer-Rao lower bound (CRLB) for a target track obtained by fusing two tracks given by two interactive multiple model (IMM) trackers filtering the plots received by two radars. The target under tracking is a ballistic target (BT) in reentry phase and it is assumed that the two sensors could have a detection probabilities Pd less than 1. Accurate BT tracking is required for: (i) impact point prediction, (ii) support to the kill assessment, and (iii) threat classification. Note that, to improve the performance, the method can be extended to the fusion of more than two sensor tracks. The paper is organized as follows: the problem is introduced in section 1; section 2 briefly recalls the models of BT dynamic and of the radar measures. Section 3 presents the tracking algorithm based on the IMM approach; section 4 contains the description of the CRLB evaluation problem and section 5 the results achieved in comparing the fusion of two BT tracks (each track is obtained from the IMM algorithm described in section 4) with the CRLB; Monte Carlo simulations is also used to quantify the fused track accuracies. Section 6 is pertinent to conclusions and follows on of the activity while references are reported in section 7.
Keywords :
Monte Carlo methods; ballistics; radar detection; radar signal processing; radar tracking; sensor fusion; signal classification; target tracking; tracking filters; CRLB; Cramer-Rao lower bound; IMM; Monte Carlo simulation; ballistic target; detection probability; interactive multiple model; radar measurement; sensor fusion; target tracking; threat classification; tracking filter; Acceleration; Azimuth; Event detection; Filtering; Gravity; Radar detection; Radar measurements; Radar tracking; Stochastic processes; Target tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Fusion, 2005 8th International Conference on
Print_ISBN :
0-7803-9286-8
Type :
conf
DOI :
10.1109/ICIF.2005.1591854
Filename :
1591854
Link To Document :
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