Summary: IMPROVED MEMORY STRATEGY FOR LOGMAP TURBO DECODERS
Imran Ahmed t,2 Tughrul Arslan1'2, Sajid Baloch1'2
1 School of Electronics and Engineering. 2lnstitute for System Level Integration, The
University of Edinburgh, King's Buildings Alba Campus, The Alba Centre, Livingston,
Mayfield Road, Edinburgh, EH9 3JL, UK Scotland, EH54 7EG, UK
Turbo decoding schemes achieve performance close
to Shannon's theoretical limit but at the cost of
decoder complexity. Log Map turbo decoders are
both computationally and memory intensive.
Traditionally sliding window (SW) algorithms are
used to reduce the decoding delay and memory
requirements. In this paper we present a novel
hardware architecture where we show that better
scheduling and placement of memories (at the cost
of performing more calculations) results in a much
improved design both in terms ofarea and power.
Sliding window, turbo codes, Log Map Decoding,
Maximum a posteriori, soft-decision.