Double Turbo Equalization of Continuous Phase Modulation with Frequency Domain Processing

In this paper, a doubly-iterative linear receiver, equipped with a soft-information aided frequency domain minimum mean-squared error (MMSE) equalizer, is proposed for the combined equalization and decoding of coded continuous phase modulation (CPM) signals over long multipath fading channels. In th...

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Bibliographic Details
Published in:IEEE transactions on communications 2009-02, Vol.57 (2), p.423-429
Main Authors: Ozgul, B., Koca, M., Delic, H.
Format: Article
Language:English
Subjects:
Analytical models
Applied sciences
Channels
Coding, codes
Computation
Computational complexity
Computational modeling
Continuous phase modulation
Decoding
Demodulation
Detection, estimation, filtering, equalization, prediction
double turbo processing
Equalization
Equalizers
Exact sciences and technology
Fading
Frequency domain analysis
frequency domain equalization
Frequency domains
Information, signal and communications theory
intersymbol interference
Iterative decoding
Iterative methods
Modulation, demodulation
Performance analysis
Receivers
Signal and communications theory
Signal, noise
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Transmission and modulation (techniques and equipments)
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Summary:In this paper, a doubly-iterative linear receiver, equipped with a soft-information aided frequency domain minimum mean-squared error (MMSE) equalizer, is proposed for the combined equalization and decoding of coded continuous phase modulation (CPM) signals over long multipath fading channels. In the proposed receiver architecture, the front-end frequency domain equalizer (FDE) is followed by the soft-input, soft-output (SISO) CPM demodulator and channel decoder modules. The receiver employs double turbo processing by performing back-end demodulation/decoding iterations per each equalization iteration to improve the a priori information for the front-end FDE. As presented by the computational complexity analysis and simulations, this process provides not only a significant reduction in the overall computational complexity, but also a performance improvement over the previously proposed iterative and noniterative MMSE receivers.
ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2009.02.060674