To suppress the influence of impulsive noise spikes (outliers) from the direction of arrival of the desired GPS signals, a combination of the Householder multistage Wiener filter (HMSWF) and the recently introduced Minimum Module Cascaded Canceller (MMCC) is employed to compose a hybrid structured HMSWF (HS-HMSWF) method. The enhanced algorithm is employed by space-time anti-jamming processing ...

A new equation-error based sign-sign algorithm, which is derived from a modified least-mean-squares technique, is proposed for infinite impulse response (IIR) filtering in impulsive noise. It is demonstrated that the suggested method gives unbiased IIR system parameter estimates for different types of impulsive noise. 1 This paper is a postprint of a paper submitted to and accepted for publicat...

For the problem of coherent and uncorrelated signals direction finding under impulsive noise, an efficient method is designed. Firstly, a threshold value was established according to a novel adaptive algorithm. Secondly, all the amplitude in the received data that is higher than the threshold value, was replaced by the threshold value. Finally, the classical methods based on second-order statis...

In this paper, a new affine projection sign algorithm with a variable step-size, robust in impulsive noise environments, is proposed. For that purpose, l1-norm of the a posteriori error vector is minimized under a box constraint on the step-size. Since the proposed l1-norm minimization problem is non-differentiable convex one, an efficient numerical procedure is developed for the affine project...

MIMO is a technique to increase data rate significantly with multiple antennas at both the transmitter and receiver. MIMO takes the advantage of random fading and multipath delay spread. MIMO systems will need to function reliably in interference limited environment in order to be effective. CDMA systems are designed to operate in an interference free environment and for this reason it is used ...

In this paper, we describe a new and computationally efficient adaptive system for the enhancement of autoregressive (AR) signals which are disturbed by additive white or colored noise and impulsive noise. The system is comprised of an adaptive Kalman filter operating as a fixed lag smoother and a subsystem for AR parameter estimation. A superior performance is achieved by implementing a feedba...

Impulsive noise appears as a sprinkle of dark and bright spots. Linear filters fail to suppress impulsive noise. Thus, non-linear filters have been proposed. The median filter works on all image pixels and thus destroys fine details. Alternatively, the peak-and-valley filter identifies noisy pixels and then replaces their values with the minimum or maximum value of their neighbors depending on ...

Robust filtering is a very promising area in application of biomedical signal processing. Signals are usually recorded with noise, which has various characteristics of baseline wander to very impulsive nature. The robust technique has been recently proposed as the tool to eliminate outliers in data samples. The main purpose of this paper is to present mean-median filters in application of ECG s...

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...

Under communication environments, such as wireless sensor networks, the noise observed usually exhibits impulsive as well as Gaussian characteristics. In the initialization of channel iterative decoder, such as low density parity check codes, it is required in advance to estimate the channel parameters to obtain the prior information from the received signals. In this paper, a blind channel par...