DOPPLER-BEARING PASSIVE TARGET TRACKING SYSTEM FOR UNDERWATER TARGET DETECTION USING MODIFIED GAIN EKF

Estimation of LOS Rates for Target Tracking Problems using EKF and UKF Algorithms- a Comparative Study

One of the most important problem in target tracking is Line Of Sight (LOS) rate estimation for using from PN (proportional navigation) guidance law. This paper deals on estimation of position and LOS rates of target with respect to the pursuer from available noisy RF seeker and tracker measurements. Due to many important for exact estimation on tracking problems must target position and Line O...

Mathematical Modelling of Modified Gain Doppler Bearing Extended Kalman Filter for Underwater Tracking

The paper concerns the estimation of Target Motion Parameters (TMP) viz. Range, Bearing, Course and speed of a moving target, from noisy corrupted data. A sensor is used to obtain the Frequency and Bearing parameters of the target in this type of environment. The estimate of all TMPs is obtained by processing of these parameters data. Doppler Bearing passive target tracking is the determination...

Multi-target Tracking via Nonlinear Least Squares Using Doppler Measurements from a Passive Radar System

Target Tracking By Adaptive EKF Using Fast Genetic Algorithm

It is known that the Kalman filter estimation performance heavily depends on the statistical parameters to both the dynamic and observation models, especially the covariance matrix Q. This paper presents a fast genetic algorithm (GA) to adapt extended Kalman filter (EKF) for real time tracking. In the proposed method, the covariance matrix Q can be real-time adjusted by GA to meet some specific...

Comparison of EKF, Pseudomeasurement and Particle Filters for a Bearing-only Target Tracking Problem

In this paper we consider a nonlinear bearing-only target tracking problem using three different methods and compare their performances. The study is motivated by a ground surveillance problem where a target is tracked from an airborne sensor at an approximately known altitude using depression angle observations. Two nonlinear suboptimal estimators, namely, the extended Kalman Filter (EKF) and ...