DOA estimation under Bernoulli-Gaussian impulsive noise
نویسندگان
چکیده
منابع مشابه
DOA 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 کاملDOA Estimation Based on Sparse Representation of the Fractional Lower Order Statistics in Impulsive Noise
This paper is mainly to deal with the problem of direction of arrival (DOA) estimations of multiple narrow-band sources impinging on a uniform linear array under impulsive noise environments. By modeling the impulsive noise as -stable distribution, new methods which combine the sparse signal representation technique and fractional lower order statistics theory are proposed. In the new algorithm...
متن کاملA novel correntropy based DOA estimation algorithm in impulsive noise environments
The Direction of Arrival (DOA) estimation under impulsive noise environments remains open in the field of array signal processing. Inspired by the advantage of correntropy which exhibits a ‘robust statistics’ property, this paper proposes a new operator, namely, the correntropy based correlation (CRCO), for independent and identically distributed (i.i.d) symmetric alpha-stable ðSαSÞ random vari...
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 کاملKalman based time va~ing DOA estimation robust to impulsive noise
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. Simulat...
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: IOP Conference Series: Materials Science and Engineering
سال: 2021
ISSN: 1757-8981,1757-899X
DOI: 10.1088/1757-899x/1090/1/012096