Title :
Shape coded modulation using neural networks
Author :
Als, A. ; Sodha, J.
Author_Institution :
Dept. of Comput. Sci., Math. & Phys., Univ. of the West Indies, Bridgetown, Barbados
Abstract :
Shape coded modulation is a combined modulation and error-control coding technique. The performance of a neural network decoder for shape coded modulation is compared with a decoder based on a complex algorithm. Simulation results over a range of signal-to-noise ratios (SNRs), for rate 1/2 and rate 1/4 shape codes, show that a single neural network decoder trained at a high SNR, provides near optimum results over all SNRs
Keywords :
decoding; error correction codes; feedforward neural nets; modulation coding; multilayer perceptrons; neural nets; quadrature phase shift keying; telecommunication computing; complex algorithm; error-control coding; feedforward multilayer perceptron; high SNR; neural network decoder; optimum results; performance; rate 1/2 shape code; rate 1/4 shape code; shape coded modulation; signal to noise ratios; simulation results; Constellation diagram; Decoding; Demodulation; Digital modulation; Modulation coding; Neural networks; Neurons; Quadrature phase shift keying; Shape; Signal to noise ratio;
Conference_Titel :
Southeastcon '97. Engineering new New Century., Proceedings. IEEE
Conference_Location :
Blacksburg, VA
Print_ISBN :
0-7803-3844-8
DOI :
10.1109/SECON.1997.598684
