Advanced nonlinear equalizer for Filter Bank Multicarrier‐based Long Reach‐Passive Optical Network system

Abstract

Summary The performance of the intensity‐modulated Filter Bank Multicarrier (FBMC) system using direct detection with advanced nonlinear equalizer in Long Reach‐Passive Optical Network (LR‐PON) is presented in this paper. First, the performance of the FBMC system and its nonlinearity in the channel are analyzed. We introduce two nonlinear equalizers, namely, Artificial Neural Networks–Nonlinear Feed‐Forward Equalizer (ANN‐NFFE) and Deep Neural Network–Nonlinear Equalizer (DNN‐NLE). Both the equalizers can mitigate the nonlinearities in the signal. Also, the impact of the system in downlink is analyzed using simulation by varying the data rates for various fiber lengths. The FBMC using SMT provides better spectral efficiency. The performance of both equalizers is compared. The addition of the DNN‐NLE equalizer provides a better OSNR, good accuracy, and better BER compared with ANN‐NFFE.

Vision Based Object Detection Method for Water Surface Garbage Capture Robot

“…Notably when it comes to object detection, the chosen algorithm must be very effective to detect all the floating garbage's in spite of turbulence like airflow, heavy wind etc., because the algorithm should be trained to detect static as well as moving garbage's in water. In this paper, comparative analysis deals with finding the best object detection algorithm among the selected algorithms like CNN, SSD, YOLO, HOG [15]- [17]. Here the comparison is done based on the performance i.e., speed of the detecting algorithm, accuracy rate which defines how much accurate the algorithm works, and also with the speed of detecting the objects in the water surface.…”