Paper Info
Title
Performance-Complexity Trade-Offs Of The 2-D Iterative Feedback Signal Detection Algorithm
Abstract
We present a novel iterative signal detection algorithm for two-dimensional (2-D) intersymbol-interference (ISI) channels based on a modified version of the one-dimensional (1-D) maximum a-posteriori (MAP) detection algorithm. The detector operates iteratively by combining two separate 1-D detectors acting along rows and columns using 2-D local feedback derived from previous extrinsic information. The algorithmic framework is flexible to incorporate various state and feedback configurations. By using a single-row/column detector, we can trade-off 0.4 dB of SNR performance with a fifteen times less complex realization. The performance of the algorithm is close to the maximum-likelihood (ML) estimate [17].
Year
Venue
Keywords
2013
2013 INTERNATIONAL CONFERENCE ON COMPUTING, NETWORKING AND COMMUNICATIONS (ICNC)
Two-dimensional intersymbol interference, Soft decision feedback, Row-column algorithm, Maximum a-posterori algorithm
Field
DocType
ISSN
Row and column spaces,Detection theory,Computer science,Communication channel,Algorithm,Trade offs,Detector
Conference
2325-2626
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Yiming Chen1519.12
Shayan Garani Srinivasa2117.88