Decision-feedback Demodulation Research Articles

Information efficiency and transmission range optimization for coded MIMO FH-CDMA Ad Hoc networks in time-varying environments

Optimization of the transmission range in terms of maximizing information efficiency is studied in this paper for mobile ad hoc networks (MANETs) with frequency-hopped (FH) CDMA and multiple antennas. Realistic channel models are employed to account for path-loss, log-normal shadowing, and Rayleigh fading. The shadowing and fading are assumed time-varying with different time-scales due to mobility and hopping. The receiver employs decision-feedback demodulation for differential unitary space-time modulation and erasure insertion decoding for Reed-Solomon codes [14] [15]. The decoding error probability is derived based on distributions of the multiple access interference power and the signal-to-interference ratio in a dwell for ground propagation model. The trade-off between information efficiency and transmission range is studied in detail and insight is obtained into the impact of various factors, including the spreading gain, modulation and coding schemes, feedback length, erasure insertion, order of spatial diversity, time-variation of the shadowing, and channel statistics such as Doppler frequency and shadowing spread.

A Robust Coded MIMO FH-CDMA Transceiver for Mobile Ad Hoc Networks

In this paper, we develop a coded MIMO FH-CDMA transceiver that is robust to partial-band jamming and the near-far problem for ad hoc networks with high mobility. Spatial and frequency diversity are achieved respectively by differential unitary space-time modulation (DUSTM) and coding/interleaving. Decision-feedback demodulation (DFD) and erasure insertion (EI) decoding are employed to mitigate fast Rayleigh fading and interference. A decision-directed adaptive estimator is also developed to estimate the required parameters in DFD and EI. The two proposed EI schemes are based on the Bayesian framework proposed by Baum and Pursley (1992) and a novel threshold test of the effective signal to noise and interference ratio (ESINR), respectively. Decoding error probability of the ESINR based EI is derived analytically. Performance of both EI schemes are examined under various interference conditions, and the effect of EI thresholds is carefully discussed. The Bayesian EI is shown to be insensitive to suboptimal threshold and achieves significantly better performance than error-only decoding. Furthermore, it is shown that analysis of the ESINR based EI scheme predicts the performance of the Bayesian EI when the interference is dominant.

SVD iterative decision feedback demodulation and detection of coded space-time unitary differential modulation

A new suboptimal demodulator based on iterative decision feedback demodulation (DFD), and a singular value decomposition (SVD) for estimation of unitary matrices, is introduced. Noncoherent communication over the Rayleigh flat-fading channel with multiple transmit and receive antennas, where no channel state information (CSI) is available at the receiver is investigated. With four transmit antennas, codes achieving bit-error rate (BER) lower than 10/sup -4/ at bit energy over the noise spectral density ratio (E/sub b//N/sub o/) of -0.25 dB up to 3.5 dB, with coding rates of 1.6875 to 5.06 bits per channel use were found. The performance is compared to the mutual information upper bound of the capacity attaining isotropically random (IR) unitary transmit matrices. The codes achieve BER lower than 10/sup -4/ at E/sub b//N/sub o/ of 3.2 dB to 5.8 dB from this bound. System performance including the iterative DFD algorithm is compared to the one using Euclidean distance, as a reliability measure for demodulation . The DFD system presents a performance gain of up to 1.5 dB. Uncoded systems doing iterative DFD demodulation and idealized pilot sequence assisted modulation (PSAM) detection are compared. Iterative DFD introduces a gain of more than 1.2 dB. The coded system comprises a serial concatenation of turbo code and a unitary matrix differential modulation code. The receiver employs the high-performance coupled iterative decoding of the turbo code and the modulation code. Information-theoretic arguments are harnessed to form guidelines for code design and to evaluate performance of the iterative decoder.

Decision feedback demodulation-based adaptive linear equalisers for differentially coherent DPSK systems

The authors propose to combine linear feedback equalisation and decision feedback demodulation for the equalisation of differentially coherent PSK signalling. By modifying the equaliser output based on the decision feedback demodulation before feeding back, the proposed equaliser can be made to behave like one with a decision feedback structure. Indeed, computer simulation results demonstrate that this equaliser performs much better than existing equalisers, such as linear equalisers for differentially coherent detection. Furthermore its performance is even comparable to that of a decision feedback equaliser with coherent detection.