Showing papers on "K-distribution published in 2020"

Bernoulli track-before-detect filter for maritime radar

Abstract: In this work, the authors study the problem of detecting and tracking small targets using high-resolution maritime radar, where sea clutter is correlated in range, and its amplitude fluctuations are characterised by occasional spikes. To tackle this problem, they develop a Bernoulli track-before-detect filter, as the optimal recursive Bayesian detector/estimator of target state and its presence in noise. A realistic clutter model, in the form of the K -distribution with unknown distribution parameters, is adopted. Target amplitude fluctuations are also included in the model. The detection and tracking improvement are demonstrated by simulations and compared against a conventional point target tracking algorithm.

Compounded generalized Weibull distributions - A unified approach

Abstract: In this paper we analyze a unified approach to study a family of lifetime distributions of a system consisting of random number of components in series and in parallel proposed by Chowdhury (2014)

Outage Performance Analysis of Hybrid FSO/RF System Using Rayleigh and K-Distribution

Abstract: In this work, the outage probability of hybrid FSO/RF system using decode and forward (DF) relay is derived. Rayleigh distribution is used for modeling of the radio frequency communication (RF) link and K-distribution is used for modeling free space optical communication (FSO) link. Decode and forward relaying scheme is considered, which decodes the received data and then retransmits the re-encoded data and removes the noise present. The expressions are derived for probability density function (PDF), cumulative distributive function (CDF), and outage probability in terms of Meijer G-function.

The Rayleigh Birnbaum Saunders Distribution: A General Fading Model

Abstract: A new compound non-symmetric distribution for modeling arbitrary fading-shadowing wireless channels is introduced and studied here. This distribution has some advantages in front of other well-known non-symmetric fading distributions such as the Rayleigh–lognormal distribution and the K distribution especially in the tails. We give closed-form expressions for the average BER of DPSK and MSK when the new distribution is used. Applications to compare how the new distribution works in comparisons with the Rayleigh–lognormal, K distributions and others recently proposed in the literature of fading channel are also provided.

Wireless Channel Modeling and Simulation with K Distribution

Abstract: We study modeling of wireless channel with fading and shadowing effects using K distribution with modified Bessel function of the second kind with half integer order. This allows us to obtain probability density function and cumulative distribution function in closed form in terms of elementary functions and simplifies the calculation of exact average bit error rate. The problem of Monte Carlo simulation using random variables with K distribution is also addressed.

Two novel radar detectors for spiky sea clutter with the presence of thermal noise and interfering targets

Abstract: In the context of noncoherent detection and high-resolution maritime radar system with low grazing angle, new Constant False Alarm Rate CFAR decision rules are suggested for two Compound Gaussian CG clutters namely: The K distribution and the Compound Inverse Gaussian CIG distribution, which are considered among the most appropriate models for sea clutter. The proposed decision rules are then modified to deal with the presence of thermal noise and interfering targets. The proposed detectors are investigated on the basis of synthetic data as well as real data of the IPIX radar database. The obtained results exhibit a high probability of detection as well as an excellent false alarm rate regulation especially for spiky clutter.