Multitarget particle filter based track before detect algorithm for tracking of spawning targets

Author

Eyili, Mehmet ; Demirekler, M.

Author_Institution

Savunma ve Sist. Teknol. Grubu, ASELSAN A.S., Ankara, Turkey

fYear

2014

fDate

23-25 April 2014

Firstpage

1071

Lastpage

1074

Abstract

In this paper, two proposed Track Before Detect (TBD) algorithms for spawning targets on the basis of raw radar measurements are described. These algorithms are developed by using multi-model particle filter method. To improve the efficiency of particle filter a novel reduced order model is introduced. The algorithms are confirmed by using the simulation results and their performances are analyzed on the basis of the probability of target existence and Root Mean Square (RMS) estimation accuracy for very low Signal-to-Noise Ratio (SNR) targets.

Keywords

object detection; particle filtering (numerical methods); radar; target tracking; RMS estimation; SNR targets; TBD algorithms; multimodel particle filter method; multitarget particle filter; radar measurements; reduced order model; root mean square estimation; signal-to-noise ratio; spawning targets; target existence probability; track before detect algorithm; Doppler effect; Doppler radar; Mathematical model; Particle filters; Radar tracking; Target tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Communications Applications Conference (SIU), 2014 22nd

Conference_Location

Trabzon

Type

conf

DOI

10.1109/SIU.2014.6830418

Filename

6830418