Kalman based time va~ing DOA estimation robust to impulsive noise
نویسندگان
چکیده
This paper prewnts the robust kahnan based method which is modified with Huber function for estimating time varying WA under the imputsive noise. It is known that the performance of Kalman algorithm degradestiously when the input si~rds contain the impdsive noise. To reduce the effects of the impulsive noise, this algorithm emends the con~pt of Huber fiction to the Khan based estimator. Simulations show that the performance of the proposed algorithm is 1=s vukerable to the irnpdsive noise than that of the conventionrd Kahnan algorithm.
منابع مشابه
A Robust Distributed Estimation Algorithm under Alpha-Stable Noise Condition
Robust adaptive estimation of unknown parameter has been an important issue in recent years for reliable operation in the distributed networks. The conventional adaptive estimation algorithms that rely on mean square error (MSE) criterion exhibit good performance in the presence of Gaussian noise, but their performance drastically decreases under impulsive noise. In this paper, we propose a rob...
متن کاملDOA Estimation for Coherent Sources in Impulsive Noise Environments
Direction-of-arrival (DOA) estimation of coherent sources is a significant problem in impulsive noise environments. In this paper, a robust estimation algorithm which combines the ideas of spatial smoothing (SS) and infinity-norm normalization (INF) is presented, referred to as INF-SSR. The proposed algorithm exploits the Root– MUSIC technique to computer the DOA estimates, thus avoiding the pe...
متن کاملRobust Direction of Arrival (DOA) Estimation Using RBF Neural Network in Impulsive Noise Environment
The DOA problem in impulsive noise environment is approached as a mapping which can be modeled using a radial-basis function neural network (RBFNN). To improve the robustness, the input pairs are preprocessed by Fractional Low-Order Statistics (FLOS) technique. The performance of this network is compared to that of the FLOM-MUSIC for both uncorrelated and correlated source. Numerical results sh...
متن کاملIMPLEMENTATION OF EXTENDED KALMAN FILTER TO REDUCE NON CYCLO-STATIONARY NOISE IN AERIAL GAMMA RAY SURVEY
Gamma-ray detection has an important role in the enhancement the nuclear safety and provides a proper environment for applications of nuclear radiation. To reduce the risk of exposure, aerial gamma survey is commonly used as an advantage of the distance between the detection system and the radiation sources. One of the most important issues in aerial gamma survey is the detection noise. Various...
متن کاملPerformance of RBF neural networks for array processing in impulsive noise environment
This paper addresses the array processing problems (mainly focuses on direction of arrival estimation and beamforming) of mobile communication system using linear antenna arrays in high impulsive noise environment. One possible way to simulate the impulsive noise is to introduce alpha-stable distribution as the noise model. In order to reduce the computational complexity, the problems of DOA an...
متن کامل