Adaptive BP neural network (ABPNN) based PN code acquisition system via recursive accumulator
Tóm tắt
An adaptive back propagation (BP) neural network based PN code acquisition system is presented. Conventional neural network based acquisition systems are usually trained on PN code, but this system is based on training a back propagation neural network at all possible phases of the output of a correlation detector which is modified by a recursive accumulator. The recursive accumulator can converge the input of the neural network into a limited sample space, and the BP neural network acquires the phase of the received PN code from the converged data. The advantages of this system are that the gain of the system is controllable and the training data sample space is limited. The BP neural network is used to distinguish the transmitted signal and noise. Computer simulations show that the proposed system can acquire the phase of the received PN code correctly at very low signal-to-noise ratio (SNR) in an AWGN channel.
Từ khóa
#Adaptive systems #Neural networks #Signal to noise ratio #Phase detection #Detectors #Control systems #Training data #Additive white noise #Gaussian noise #Computer simulationTài liệu tham khảo
rappaport, 1996, Wireless Communication Principles and Practice
said, 2000, Neural Network Based Spread Spectrum PN Code Acquisition System, 7th National Radio Science Conference, c30/1
freeman, 1991, Neural Networks Algorithms Applications and Programming Techniques
haykin, 1999, Neural Networks A Comprehensive Foundation
sheen, 2001, A new analysis of direct-sequence pseudonoise code acquisition on Rayleigh fading channels, IEEE Journal on Selected Areas in Communications, 19
lee, 2001, effects of multiple threshold values for pn code acquisition in ds-cdma systems, Electronics Letters, 37, 363, 10.1049/el:20010229
yoon, 1995, DS/CDMA PN code Acquisition by Neural Network, 1995 IEEE 45th Vehicular Technology Conference, 1, 276
10.1109/MILCOM.1993.408551