RefDoc
Haut

Faire une nouvelle recherche
Make a new search
Lancer la recherche


Titre du document / Document title

Comparison of the Radar and Seeker Modes of Pursuer Guidance

Auteur(s) / Author(s)

SARKAR A. K. (1) ; ANANTHASAYANAM M. R. (2) ; SRINIVASAN T. (1) ; KAR P. K. (1) ;

Affiliation(s) du ou des auteurs / Author(s) Affiliation(s)

(1) Defence Research and Development Laboratory, Hyderabad 500 058, INDE
(2) Indian Institute of Science, Bangalore 560 012, INDE

Résumé / Abstract

This paper compares closed-loop performance of seeker-based and radar-based estimators for surface-to-air interception through 6-degree-of-freedom simulation using proportional navigation guidance. Ground radar measurements are evader range, azimuth and elevation angles contaminated by Gaussian noise. Onboard seeker measurements are pursuer-evader relative range, range rate also contaminated by Gaussian noise. The gimbal angles and line-of-sight rates in the gimbal frame, contaminated by time-correlated non-Gaussian noise with realistic numerical values are also available as measurements. In both the applications, extended Kalman filter with Gaussian noise assumption are used for state estimation. For a typical engagement, it is found that, based on Monte Carlo studies, seeker estimator outperforms radar estimator in terms of autopilot demand and reduces the miss distance. Thus, a seeker estimator with white Gaussian assumption is found to be adequate to handle the measurements even in the presence of non-Gaussian correlated noise. This paper uses realistic numerical values of all noise parameters.

Revue / Journal Title

Journal of guidance, control, and dynamics    ISSN  0731-5090   CODEN JGCODS 

Source / Source

2009, vol. 32, no6, pp. 1912-1920 [9 page(s) (article)] (17 ref.)

Langue / Language

Anglais

Editeur / Publisher

American Institute of Aeronautics and Astronautics, Reston, VA, ETATS-UNIS  (1982) (Revue)

Mots-clés anglais / English Keywords

Target tracking

;

Gaussian process

;

Monte Carlo method

;

Extended Kalman filter

;

Computer control

;

Autopilot

;

Non gaussian noise

;

Non correlated noise

;

Line of sight propagation

;

Cardan suspensor

;

Gaussian noise

;

Azimuth

;

Radar

;

Interception

;

State estimation

;

Navigation

;

System identification

;

Observer

;

Guidance

;

Mots-clés français / French Keywords

Poursuite cible

;

Processus Gauss

;

Méthode Monte Carlo

;

Filtre Kalman étendu

;

Pilotage ordinateur

;

Pilote automatique

;

Bruit non gaussien

;

Bruit non corrélé

;

Propagation visibilité directe

;

Suspension cardan

;

Bruit gaussien

;

Azimut

;

Radar

;

Interception

;

Estimation état

;

Navigation

;

Identification système

;

Observateur

;

Guidage

;

Mots-clés espagnols / Spanish Keywords

Persecución de blanco

;

Proceso Gauss

;

Método Monte Carlo

;

Filtro Kalman extendido

;

Control por ordenador

;

Piloto automático

;

Ruido no gaussiano

;

Ruido no correlacionado

;

Propagación visibilidad directa

;

Suspensión cardan

;

Ruido gaussiano

;

Azimut

;

Radar

;

Intercepción

;

Estimación estado

;

Navegación

;

Identificación sistema

;

Observador

;

Guiado

;

Localisation / Location

INIST-CNRS, Cote INIST : 19058, 35400017160129.0170

Nº notice refdoc (ud4) : 22136859



Faire une nouvelle recherche
Make a new search
Lancer la recherche
Bas