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Density Evolution Analysis of RS-A-SISO Algorithms for Serially Concatenated CPM over Fading Channels  

Chung, Kyu-Hyuk (Communication Sciences Institute, Electrical Engineering-Systems, Dept. University)
Heo, Jun (College of Information and Telecommunications Department of Electronics Engineering Konkuk University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea TC / v.42, no.7, 2005 , pp. 27-34 More about this Journal
Abstract
Iterative detection (ID) has proven to be a near-optimal solution for concatenated Finite State Machines (FSMs) with interleavers over an additive white Gaussian noise (AWGN) channel. When perfect channel state information (CSI) is not available at the receiver, an adaptive ID (AID) scheme is required to deal with the unknown, and possibly time-varying parameters. The basic building block for ID or AID is the soft-input soft-output (SISO) or adaptive SISO (A-SISO) module. In this paper, Reduced State SISO (RS-SISO) algorithms have been applied for complexity reduction of the A-SISO module. We show that serially concatenated CPM (SCCPM) with AID has turbo-like performance over fading ISI channels and also RS-A-SISO systems have large iteration gains. Various design options for RS-A-SISO algorithms are evaluated. Recently developed density evolution technique is used to analyze RS-A-SISO algorithms. We show that density evolution technique that is usually used for AWGN systems is also a good analysis tool for RS-A-SISO systems over frequency-selective fading channels.
Keywords
Iterative detection; SCCPM; RS-A-SISO; Turbo code; density evolution;
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