@inproceedings{d63644050d3f419eb105e9b475c6bedf,
title = "A MLP network based adaptive UWB modulation scheme recognizer",
abstract = "This paper proposes an artificial neural network based Ultra-Wide Band modulation scheme recognition algorithm. A three-layer MLP network is designed to obtain the recognition task. The statistical characterization parameters of the UWB signal are extracted as the input neuron parameters of the input layer, and the hidden layer of the MLP network has two layers. Experiments show that the MLP network with tansigmoidal neurons in the hidden layer and with linear neurons in the output layer can achieve good recognition performance. The probability of the correct recognition of the MLP network with proper transfer functions is higher than 95\% at 10dB SNR condition. Compared with the traditional pattern recognition and statistics judgment algorithms, the MLP recognizer can achieve higher correct recognition probability and can classify the modulation scheme automatically. The method may be widely used in the design of adaptive coding UWB systems.",
author = "Zhendong Yin and Zhilu Wu and Guanghui Ren and Zhongzhao Zhang",
year = "2006",
doi = "10.1109/ICOSP.2006.345780",
language = "英语",
isbn = "0780397371",
series = "International Conference on Signal Processing Proceedings, ICSP",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "8th International Conference on Signal Processing, ICSP 2006",
address = "美国",
note = "8th International Conference on Signal Processing, ICSP 2006 ; Conference date: 16-11-2006 Through 20-11-2006",
}