Block-Processing Soft-Input Soft-Output Demodulator for Coded PSK Using DCT-Based Phase Noise Estimation

• Published in: IEEE transactions on communications Vol. 62; no. 8; pp. 2939 - 2950
• Main Authors: Noels, Nele, Bhatti, Jabran, Bruneel, Herwig, Moeneclaey, Marc
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.08.2014; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Additives; Algorithms; Approximation methods; Demodulation; Demodulators; Discrete cosine transform; Discrete cosine transforms; Estimation; Mathematical models; Microprocessors; Noise; Oscillators; Partitions; Phase noise; Receivers; Vectors; Phase noise; parallel algorithms; discrete cosine transforms; communication systems; computation time; error correction coding; digital communication; synchronization; parameter estimation; digital signal processors
• ISSN: 0090-6778; 1558-0857
• DOI: 10.1109/TCOMM.2014.2338871

This paper considers the detection of coded phaseshift keying signals subjected to additive white Gaussian noise and oscillator phase noise. We propose a detector that partitions the received frame into smaller blocks and models the unknown phasor variations over each block as a truncated discrete cosine transform (DCT) expansion. Detection and decoding are iteratively performed between a soft-input soft-output (SISO) demodulator, a SISO demapper, and a SISO decoder based on the sum-product algorithm and the factor graph framework, whereas the expectation-maximization algorithm is used in the demodulator for the DCT coefficients estimation. The resulting demodulator is shown to have an excellent performance/complexity tradeoff and to be well-suited for parallel processing on multiple cores.