Title :
Algorithm-based low-power/high-speed Reed-Solomon decoder design
Author :
Raghupathy, Arun ; Liu, K.J.R.
Author_Institution :
Dept. of Electr. Eng., Maryland Univ., College Park, MD, USA
fDate :
11/1/2000 12:00:00 AM
Abstract :
With the spread of Reed-Solomon (RS) codes to portable wireless applications, low-power RS decoder design has become important. This paper discusses how the Berlekamp Massey decoding algorithm can be modified and mapped to obtain a low-power architecture. In addition, architecture level modifications that speed-up the syndrome and error computations are proposed. Then the VLSI architecture and design of the proposed low power/high-speed decoder is presented. The proposed design is compared with a normal design that does not use these algorithm/architecture modifications. The power reduction when compared to the normal design is estimated. The results indicate a power reduction of about 40% or a speed-up of 1.34.
Keywords :
Reed-Solomon codes; VLSI; block codes; channel coding; decoding; error correction codes; linear codes; low-power electronics; parallel algorithms; Berlekamp Massey algorithm; Reed-Solomon decoder; architecture level modifications; error computations; low-power design; portable wireless applications; power reduction; speed-up; syndrome computations; Algorithm design and analysis; Block codes; Computer architecture; Convolutional codes; Decoding; Error correction codes; Polynomials; Power system protection; Reed-Solomon codes; Very large scale integration;
Journal_Title :
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on