نتایج جستجو برای: Adaptive Kalman Filter

تعداد نتایج: 310378  

Journal: :the modares journal of electrical engineering 2004
ramezan havangi mohammad teshnehlab habib ghanbarpour asl

the error of inertial navigation systems increase versus time, therefore for achieving higher accuracy specially in long time navigations we have to use an aiding system. global positioning system is the best aiding system in this case. in this paper we first simulate a gps and ins; then simulate tightly integration and finally review adaptation method of kalman filtering a fuzzy adaptive kalma...

Journal: :international journal of electrical and electronics engineering 0
mahdi fathi department of aerospace engineering, malek ashtar university of technology nematollah ghahramani faculty/ department of electrical engineering, malek ashtar university of technology mohammad ali shahi ashtiani faculty/ department of aerospace engineering, malek ashtar university of technology mohsen fallah faculty/ department of electrical engineering, malek ashtar university of technology ali mohammadi faculty/department of aerospace engineering, malek ashtar university of technology

against the range-dependent accuracy of the tracking radar measurements including range, elevation and bearing angles, a new hybrid adaptive kalman filter is proposed to enhance the performance of the radar aided strapdown inertial navigation system (ins/radar). this filter involves the concept of residual-based adaptive estimation and adaptive fading kalman filter and tunes dynamically the fil...

Against the range-dependent accuracy of the tracking radar measurements including range, elevation and bearing angles, a new hybrid adaptive Kalman filter is proposed to enhance the performance of the radar aided strapdown inertial navigation system (INS/Radar). This filter involves the concept of residual-based adaptive estimation and adaptive fading Kalman filter and tunes dynamically the fil...

Journal: :the modares journal of electrical engineering 2011
ali heydari chaleshtori ahmad reza sharafat

we compare performance of adaptive schemes which are based on radial-basis functions and kalman filters for fast extraction of auditory evoked potentials. moreover, we propose a new method based on evoked potential modeling in the kalman filter framework, which can improve the accuracy compared to the existing methods. simulation results show that adaptive schemes and the kalman method are not ...

This paper proposes a new adaptive extended Kalman filter (AEKF) for a class of nonlinear systems perturbed by noise which is not necessarily additive. The proposed filter is adaptive against the uncertainty in the process and measurement noise covariances. This is accomplished by deriving two recursive updating rules for the noise covariances, these rules are easy to implement and reduce the n...

Journal: :رادار 0
محمدرضا تابان آرش شیخ مظفری

in this paper, we deal with the problem of adaptive coherent signal detection in gaussian interference (clutter plus noise) for surveillance pulse radars. some of the adaptive radar detectors exploit the ar model for clutter. most of these detectors have been obtained using the glr test. this test relies on the maximum likelihood estimation whose accuracy depends on the number of data. whereas,...

2012
M. S. Chavan R. H. Chile S. R. Sawant

In this paper we have applied radial basis function neural networks for equalization of wireless channel in the presence of additive noise. We have been tested the adaptive filter algorithms of simple Kalman filter, extended Kalman filter, rbfn Kalman filter, rbfn extended Kalman filter, fuzzy Kalman filter and fuzzy extended Kalman filter which might be considered applicable for wireless chann...

Journal: :IEEE Transactions on Signal Processing 2023

Sequential Bayesian filters in non-linear dynamic systems require the recursive estimation of predictive and posterior probability density function (pdf). This paper introduces a filter called adaptive kernel Kalman (AKKF). The AKKF approximates arbitrary pdf hidden states using mean embedding (KME) reproducing Hilbert space (RKHS). In parallel with KME, some particles data are used to capture ...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه صنعتی امیرکبیر(پلی تکنیک تهران) - دانشکده مهندسی هوافضا 1386

شدت عملکرد مایکروبرست ، سوانح متعدد گزارش شده ، عدم موجود بودن دستورالعمل کاربردی و ناتوان بودن کنترلرهای موجود بواسطه محدودیت کارایی و خطی بودن معادلات کنترلی حاکم ، مهمترین دلایل پژوهش ، شناخت و کنترل هواپیما در برخورد با مایکروبرست می باشد . مدل مایکروبرست ازگورا- بولز بدلیل وابستگی توزیع سرعت های افقی به ارتفاع ، اثرات لایه مرزی سرعت در نزدیکی سطح زمین و ارضا معادلات بقای جرم استفاده شده و...

2011
J. Valarmathi D. S. Emmanuel G Girija J R Raol R Appavu Sudesh Kashyap Ren C. Luo Chih-Chen Yih Lan Su Thiagalingam Kirubarajan Toshio Furukawa Fumiko Muraoka Yoshio Kosuge

This paper analyses the velocity estimation of a target, from the Doppler filter using 1) Kalman filter 2) Adaptive Kalman filter 3) Kalman filter with state vector fusion 4) Adaptive Kalman filter with state vector fusion 5) State vector fused adaptive Kalman filter. Simulation through MATLAB gave good response for 4 and 5 algorithms under low signal to noise ratio. 2 and 3 algorithms gave bet...

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