Title :
Decoding performance and complexity analysis for analog and digital channel decoders
Author :
Hong, Sangjin ; Stark, Wayne E.
Author_Institution :
Dept. of Electr. & Comput. Eng., State Univ. of New York, Stony Brook, NY, USA
Abstract :
Analog circuit realization of complex signal processing algorithms is a very promising solution for high speed, small size, and low-power applications. However imperfect characteristics of analog circuitry and sensitivity of analog data storage elements on the environment may distort the system performance. This paper presents an analog Viterbi (1979) decoder and effects of incorporating analog memory on its decoding performance under additive white Gaussian channel. The performance and complexity of the decoder are compared with those of the digital version of implementation
Keywords :
AWGN channels; Viterbi decoding; analogue processing circuits; analogue storage; computational complexity; digital signal processing chips; integrated memory circuits; additive white Gaussian channel; analog Viterbi decoder; analog channel decoders; analog circuit realization; analog data storage elements; analog memory; complex signal processing algorithms; complexity analysis; convolutional codes; decoder complexity; decoding performance; digital VLSI; digital channel decoders; high speed applications; low-power applications; system performance; Analog circuits; Analog memory; Decoding; Digital filters; Digital signal processing; Energy consumption; Performance analysis; Signal processing algorithms; Switching circuits; Wireless communication;
Conference_Titel :
Vehicular Technology Conference, 2001. VTC 2001 Spring. IEEE VTS 53rd
Conference_Location :
Rhodes
Print_ISBN :
0-7803-6728-6
DOI :
10.1109/VETECS.2001.944590
