A new improved filter for target tracking: compressed iterative particle filter
نویسندگان
چکیده
منابع مشابه
A New Modified Particle Filter With Application in Target Tracking
The particle filter (PF) is a novel technique that has sufficiently good estimation results for the nonlinear/non-Gaussian systems. However, PF is inconsistent that caused mainly by loss of particle diversity in resampling step and unknown a priori knowledge of the noise statistics. This paper introduces a new modified particle filter called adaptive unscented particle filter (AUPF) to overcome th...
متن کاملAn Improved Particle Filter for Target Tracking in Sensor Systems
Sensor systems are not always equipped with the ability to track targets. Sudden maneuvers of a target can have a great impact on the sensor system, which will increase the miss rate and rate of false target detection. The use of the generic particle filter (PF) algorithm is well known for target tracking, but it can not overcome the degeneracy of particles and cumulation of estimation errors. ...
متن کاملH-infinity Filter Based Particle Filter for Maneuvering Target Tracking
In this paper, we propose a novel H-infinity filter based particle filter (H∞PF), which incorporates the H-infinity filter (H∞F) algorithm into the particle filter (PF). The basic idea of the H∞PF is that new particles are sampled by the H∞F algorithm. Since the H∞F algorithm can fully take into account the current measurements, when the new algorithm calculates the proposed probability density...
متن کاملAn Improved Particle Filter with Applications in Ballistic Target Tracking
In this paper, we present an improved particle filter algorithm for ballistic target tracking, the quadrature Kalman particle filter (QKPF). The proposed algorithm uses quadrature Kalman filter (QKF) for generating the proposal distribution. The QKF is a recursive, nonlinear filtering algorithm developed in the Kalman filtering framework. It linearizes the nonlinear functions using statistical ...
متن کاملAn Efficient Target Tracking Algorithm Based on Particle Filter and Genetic Algorithm
In this paper, we propose an efficient hybrid Particle Filter (PF) algorithm for video tracking by employing a genetic algorithm to solve the sample impoverishment problem. In the presented method, the object to be tracked is selected by a rectangular window inside which a few numbers of particles are scattered. The particles’ weights are calculated based on the similarity between feature vecto...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Natural Science
سال: 2011
ISSN: 2150-4091,2150-4105
DOI: 10.4236/ns.2011.34039