Title :
A soft decision syndrome decoding algorithm for convolutional codes
Author :
Hsu, Chih-ping ; Weber, Charles
Author_Institution :
Commun. Sci. Inst., Univ. of Southern California, Los Angeles, CA, USA
fDate :
30 Sep-3 Oct 1990
Abstract :
Bit decoding algorithms of convolutional codes are used for real-time systems. A syndrome decoder is shown to be an efficient way for very high data rate implementation. With soft decision signals, the performance of the decoder can be improved. Utilizing a signal-plus-noise channel model to specify a Q-level quantized AWGN channel or a binary input Q-ary output channel, one is able to define both errors and syndromes through an r-dimensional binary vector representation. A Q-level soft decision syndrome decoder based on this model is built. The binary vector representation is found to be unique under this construction. Performance is also shown via simulation
Keywords :
analogue-digital conversion; decoding; error correction codes; telecommunication channels; white noise; binary input Q-ary output channel; binary vector representation; bit decoding algorithms; convolutional codes; data rate; performance; quantized AWGN channel; real-time systems; signal-plus-noise channel; simulation; soft decision signals; soft decision syndrome decoding; syndrome decoder; AWGN channels; Convolution; Convolutional codes; Decoding; Error correction; Gaussian noise; Memoryless systems; Random variables; Real time systems; Signal to noise ratio;
Conference_Titel :
Military Communications Conference, 1990. MILCOM '90, Conference Record, A New Era. 1990 IEEE
Conference_Location :
Monterey, CA
DOI :
10.1109/MILCOM.1990.117445
