Optimal PPM-Shift Based on Artificial Neural Network for 2PPM-TH-UWB systems

Abstract

The optimal value of the PPM-Shift related with the binary TH-PPM should be cautiously selected to make sure the finest performance of the PPM-TH-UWB system for a given pulse shape utilized in a specific submission. In addition, it has been demonstrated that the ideal choice of the PPM-Shift parameter denotes back to the autocorrelation characteristics of the pulse shape under examination. In this paper, artificial neural network (ANN) with Levenberg-Marquardt Learning Algorithm (LM) is proposed to optimize PPM-shift for the TH-UWB under Standard Gaussian Approximation (SGA) with multi-Rate system, this optimal PPM-Shift is a function of the data bit Rate (Rb) and Gaussian pulse and its derivatives. Theoretical analysis and simulation results show that our algorithm rapidly converges to the optimal PPM-Shift and has the advantages of low bit-error rate.

Fuzzy Comprehensive Evaluation of Maritime Boundary Delimitation Schemes Based on AHP-Entropy Weight Method

“…e subjective weighting methods include the analytic hierarchy process (AHP), which is used to obtain the weights of different indices based on the subjective experiences of experts. e objective weighting methods, which include the correlation coefficient method, gray correlation method, TOPSIS method, and entropy weight method, determine the weights of indices according to their relations or the coefficient of variation [11][12][13][14]. Having errors in weights of indices is inevitable if only subjective weighting methods (e.g., AHP) [15][16][17] or objective weighting methods (e.g., entropy weight method) are used [18,19], thereby influencing the final evaluation results greatly.…”

Fuzzy comprehensive evaluation of maritime boundary delimitation schemes based on AHP-entropy weight method

“…e subjective weighting methods include the analytic hierarchy process (AHP), which is used to obtain the weights of different indices based on the subjective experiences of experts. e objective weighting methods, which include the correlation coefficient method, gray correlation method, TOPSIS method, and entropy weight method, determine the weights of indices according to their relations or the coefficient of variation [11][12][13][14]. Having errors in weights of indices is inevitable if only subjective weighting methods (e.g., AHP) [15][16][17] or objective weighting methods (e.g., entropy weight method) are used [18,19], thereby influencing the final evaluation results greatly.…”