CONSTRAINED-COMPLEXITY EQUALIZER DESIGN FOR FIXED DELAY TREE-SEARCH WITH DECISION-FEEDBACK

Fixed delay tree search with decision feedback (FDTS/DF) is a hybrid detection scheme which incorporates a sequence detector into the decision feedback equalizer (DFE). When applied to minimum-runlength-limited channels, the FDTS/DF provides near-optimal detection performance with a reasonable complexity requirement. It has been shown recently that for the special case of search depth 1 and the channel subject to the d = 1 run length constraint, a simpler structure arises for the decision elements of the FDTS/DF, which provides asymptotically-equivalent performance to the originally proposed FDTS/DF structure. We demonstrate the asymptotic optimality of this reduced FDTS/DF based on a simple signal-to-noise ratio argument. We also introduce a design criterion for choosing tap weights for the constrained-complexity FDTS/DF, which assumes the finite impulse response (FIR) structure for its forward and feedback filters. A method to compute optimal tap weights for the forward and feedback filters is then presented for a magnetic recording channel subject to the popular minimum runlength constraint, d = 1. Results show that under the d = 1 constraint, the FDTS/DF with one-bit decision delay achieves a large performance improvement over the DFE.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
1994-09
Language
ENG
Keywords

MAGNETIC RECORDING CHANNEL; PARTIAL-RESPONSE; PERFORMANCE; STORAGE

Citation

IEEE TRANSACTIONS ON MAGNETICS, v.30, no.5, pp.2768 - 1

ISSN
0018-9464
URI
http://hdl.handle.net/10203/66036
Appears in Collection
EE-Journal Papers(저널논문)
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