A universal post-compensation scheme for fiber impairments in wavelength-division multiplexing (WDM) systems is proposed based on coherent detection and digital signal processing (DSP). Transmission of 10 x Gbit/s binary-phase-shift-keying (BPSK) signals at a channel spacing 20 GHz over 800 km dispersion shifted (DSF) has been demonstrated numerically.

In this paper, we analyze a workload trace from the Google cloud cluster and characterize observed failures. The goal of our work is to improve understanding failures in compute clouds. We present statistical properties job task failures, attempt correlate them with key scheduling constraints, node operations, attributes users cloud. also explore potential for early failure prediction, anomaly detection jobs. Based on results, speculate that there are many opportunities enhance reliability...

Coupled amplitude delay lock loops (CADLL) is a recently proposed multipath estimation and mitigation technique based on joint of line-of-sight (LOS) signal amplitude, code phase, carrier phase. The CADLL performance evaluated against two widely known methods: the high-resolution correlator (HRC), representative correlators combination methods, (MMT), methods. Multiple tests emulating various scenarios are performed to demonstrate that always generates better results than other Additionally,...

Most cloud computing clusters are built from unreliable, commercial off-the-shelf components. The high failure rates in their hardware and software components result frequent node application failures. Therefore, it is important to predict failures before they occur avoid resource wastage. In this paper, we investigate how identify based on usage measurements the Google cluster traces. We apply recurrent neural networks measures, generate features categorize input time series into different...

In the indoor environment, where global positioning system (GPS) fails, presence of multipath, non-line-of-sight (NLOS), and dense scatterer yields unreliable position estimation. massive multiple-input multiple-output (massive MIMO) system, sparse channel property is exploited here for user localization as an integral part network to reduce power equipment (UE). this study, a novel spatial spectrum fusion estimation (SSFEAL) algorithm using uniform circular array (UCA) structure proposed,...

A deep understanding of multipath characteristics is essential to design signal simulators and receivers in global navigation satellite system applications. As a new constellation deployed more applications occur the urban environment, statistical models need further study. In this paper, we present distribution time delay, power attenuation, fading frequency based on experimental data canyon environment. The raw are obtained by processing real study distribution. By fitting data, it shows...

It is known that a global navigation satellite system (GNSS) receiver vulnerable to interference signals, and the type recognition, i.e., classification, helpful for sense spectrum, select an efficient mitigation solution, or identify interferer. However, conventional recognition methods are subject feature-based expert classification methodologies very sensitive choice of features often lack flexibility different tasks. Recently, some researchers rely on convolutional networks transform...

Most large systems such as HPC/cloud computing clusters and data centers are built from commercial off-the-shelf components. System logs usually the main source of choice to gain insights into system issues. Therefore, mining diagnose anomalies has been an active research area. Due lack organization semantic consistency in commodity PC clusters' logs, what constitutes a fault or error is subjective thus building automatic failure prediction model log messages hard. In this paper we sidestep...

Global navigation satellite system multipath channel modeling is important for signal simulation and error mitigation in urban scenarios. However, there have not been sufficient studies on statistical models dynamic land vehicles eastern Asian cities. This paper presents both MULTIPATH non-line-of-sight (NLOS) GPS L1CA BDS B1I signals. They are based an extensive field dataset collected the Shanghai-Lujiazui area. In addition, a method developed to estimate components NLOS parameters...

The signal direction of arrival (DOA) estimation is an important research topic in GNSS multipath mitigation. Correct the number echoes as well their DOAs a critical information for following mitigation techniques. In scenarios, alternating projection method has been proved efficient estimating coherent incident signals. It shown asymptotically consistent performance maximum likelihood estimator but computationally improved from multi-dimensional searches to one dimension. AP initially...

Defects introduced during the growth process greatly affect device performance of two-dimensional (2D) materials. Here we demonstrate applicability employing machine-learning-based analysis to distinguish monolayer continuous film and defect areas molybdenum disulfide (MoS2) using position-dependent information extracted from its Raman spectra. The random forest method can analyze multiple features identify samples, making up for problem not being able effectively by just one certain...

Abstract Global Navigation Satellite System (GNSS) multipath channel models are fundamental and critical for signal simulation receiver performance evaluation. They also aid the designing of suitable error mitigation algorithms when properties available. However, there is insufficient existing research on BeiDou (BDS) models. In this study, statistical established basis extensive datasets BDS B1I signal. A parameter estimation algorithm designed to extract information rays from intermediate...

With the rapid development of GPU (Graphics Processor Unit) in recent years, GPGPU (General-Purpose computation on GPU) has become an important technique scientific research. However might well be seen more as a cooperator than rival to CPU. Therefore, we focus exploiting power CPU and solving generic problems based collaborative heterogeneous computing environment. In this work present parallel processing paradigm CPU-GPU model optimize performance task scheduling. addition, evaluate new...

In this paper a novel multipath mitigation architecture for satellite navigation receiver, named Coupled Amplitude Delay Lock Loops (CADLL) is presented. This exploits the "turbo principle" to separately track Line Of Sight (LOS) signal and signals in order mitigate effects of multiple reflections. The Loop (DLL) (ALL) are two basic elements structure. DLL charge estimating tracking code delay specific ray incoming while ALL corresponding amplitude. A pair makes Unit, devoted LOS or signal....

Based on Poisson point processes, multitarget multi-Bernoulli and set calculus, a Bayesian method is presented to estimate the nonhomogeneous clutter background while simultaneously tracking multiple targets. A major feature of proposed approach seamless integration estimation with standard algorithms like hypothesis tracker (MHT) joint integrated probabilistic data association (JIPDA) by exploiting events their probabilities constructed calculated in algorithms.

In the indoor wireless localization environment, non-line-of-sight receiving signal and low signal-to-noise ratio are usually strongly dominant issues due to heavy existence of multipath signals, which also restrict final performance seriously. this paper, a novel algorithm based on 3-D multi-array spatial spectrum fusion (3-D-MSSF), uses channel state information (CSI) under uniform circular array (UCA) structure, is proposed. First, in data assembly process, number antennas observations...

Noise uncertainty and signal-to-noise ratio (SNR) wall are two very serious problems in spectrum sensing of cognitive radio (CR) networks, which restrict the applications some conventional methods especially under low SNR circumstances. In this study, an optimal dynamic stochastic resonance (SR) processing method is introduced to improve receiving signal certain conditions. By using proposed method, can be enhanced sampling complexity reduced, accordingly noise received also decreased. Based...

Time difference of arrival (TDOA) positioning is one the widely applied techniques for locating an emitting source. Unfortunately, synchronization clock bias and random sensor location perturbations are known to significantly degrade TDOA localization accuracy. This paper studies use a set calibration sources, whose locations accurately estimator, reduce loss in accuracy caused by offsets errors. Under Gaussian noise assumption, we first derive Cramér–Rao bound (CRB) parametric estimation...