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Turbo Coded Single Sideband OFDM-OQAM Signaling through Frequency Selective Rayleigh Fading Channels

Kasturi Vasudevan

Abstract

This work investigates the bit-error-rate (BER) performance of turbo coded orthogonal frequency division multiplexed - offset quadrature amplitude modulated (OFDM- OQAM) signals transmitted through frequency selective Rayleigh fading channels in the presence of carrier frequency offset (CFO) and additive white Gaussian noise (AWGN). The highlight of this work is to use the root raised cosine (RRC) pulse and its Hilbert transform as the complex-valued transmit filter and a simple matched filter at the receiver. The proposed system is similar to single sideband (SSB) modulation, that has roots in analog communications. Turbo code and subcarrier diversity is employed to improve the BER performance over that of an uncoded system. Discrete-time algorithms for frame detection, two-step CFO, channel and noise variance estimation have been proposed. A single transmit and receive antenna is assumed. Similar work has not been done earlier.

Turbo Coded Single Sideband OFDM-OQAM Signaling through Frequency Selective Rayleigh Fading Channels

Abstract

This work investigates the bit-error-rate (BER) performance of turbo coded orthogonal frequency division multiplexed - offset quadrature amplitude modulated (OFDM- OQAM) signals transmitted through frequency selective Rayleigh fading channels in the presence of carrier frequency offset (CFO) and additive white Gaussian noise (AWGN). The highlight of this work is to use the root raised cosine (RRC) pulse and its Hilbert transform as the complex-valued transmit filter and a simple matched filter at the receiver. The proposed system is similar to single sideband (SSB) modulation, that has roots in analog communications. Turbo code and subcarrier diversity is employed to improve the BER performance over that of an uncoded system. Discrete-time algorithms for frame detection, two-step CFO, channel and noise variance estimation have been proposed. A single transmit and receive antenna is assumed. Similar work has not been done earlier.
Paper Structure (8 sections, 46 equations, 10 figures, 2 tables)

This paper contains 8 sections, 46 equations, 10 figures, 2 tables.

Table of Contents

  1. Introduction
  2. System Model
  3. Receiver Algorithms
  4. Frequency Offset and Frame Detection
  5. Channel and Noise Variance Estimation
  6. Turbo Decoding
  7. Results
  8. Conclusions

Figures (10)

  • Figure S1: Discrete-time system model of OFDM-OQAM.
  • Figure S2: Proposed frame structure of OFDM-OQAM.
  • Figure S3: Mid-step quantizer for frequency offset estimation.
  • Figure S4: Coarse frequency offset and frame detection.
  • Figure S5: Channel magnitude response from 0 to $2\pi$ radians.
  • ...and 5 more figures