DocumentCode
3149058
Title
Rapid design of high performance adaptive equalizer and Viterbi decoder for the class-IV PRML channel
Author
Smith, B.D.E. ; McCanny, J.V.
Author_Institution
Queen´´s Univ., Belfast, UK
fYear
1998
fDate
8-10 Oct 1998
Firstpage
307
Lastpage
316
Abstract
This paper describes methods for the rapid design and VLSI implementation of two key components (the adaptive filter and Viterbi decoder) of the class-IV partial response maximum likelihood channel (PR-IV). These are implemented using parameterized modules, constructed from a synthesizable silicon architecture library containing core DSP and arithmetic functions. Design studies, based on a 0.35 micron 3.3 V standard cell CMOS process, indicate that worst case sampling rates of 180 mega-samples per second are achievable with a power consumption of 0.8 W and an area of 4.3 mm2. Higher sampling rates can be obtained by operating a number of filter modules in parallel. This approach offers power saving advantages when compared with systems employing pipelined filters operating at the same speed
Keywords
CMOS integrated circuits; VLSI; Viterbi decoding; adaptive equalisers; digital signal processing chips; maximum likelihood detection; partial response channels; signal sampling; 0.35 micron; 0.8 W; 3.3 V; VLSI implementation; Viterbi decoder; adaptive equalizer; adaptive filter; arithmetic functions; class-IV PRML channel; core DSP; filter modules; parameterized modules; partial response maximum likelihood channel; power consumption; power saving; sampling rates; standard cell CMOS process; synthesizable silicon architecture library; Adaptive equalizers; Adaptive filters; Arithmetic; Digital signal processing; Libraries; Maximum likelihood decoding; Sampling methods; Silicon; Very large scale integration; Viterbi algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Systems, 1998. SIPS 98. 1998 IEEE Workshop on
Conference_Location
Cambridge, MA
ISSN
1520-6130
Print_ISBN
0-7803-4997-0
Type
conf
DOI
10.1109/SIPS.1998.715793
Filename
715793
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