Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Turbo Coding
Improved interference cancellation for turbo-equalization
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 01
Minimum mean squared error equalization using a priori information
IEEE Transactions on Signal Processing
Low-complexity MMSE turbo equalization: a possible solution for EDGE
IEEE Transactions on Wireless Communications
Turbo equalization: adaptive equalization and channel decoding jointly optimized
IEEE Journal on Selected Areas in Communications
An improved SIC based turbo equalizer
WSEAS TRANSACTIONS on COMMUNICATIONS
Turbo Code with Modified LLR and Performance Analysis for Bluetooth Packets in Indoor Environments
Wireless Personal Communications: An International Journal
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Soft interference cancellers (SICs) have been proposed in the literature as a means for reducing the computational complexity of the so-called turbo equalization receiver architecture. Soft-input-soft output (SISO) equalization algorithms based on linear filters have a tremendous complexity advantage over trellis-diagram-based SISO equalizers, especially for high-order modulations and long-delay spread frequency selective channels. In this paper, we modify the way in which the SIC incorporates soft information. In existing literature the input to the cancellation filter is the expectation of the symbols based solely on the apriori probabilities coming from the decoder, whereas here we propose to use the conditional expectation of those symbols, given both the apriori probabilities and the received sequence. This modification results in performance gains at the expense of increased computational complexity, as compared to previous SIC-based schemes. However, by introducing an approximation to the aforementioned algorithm a linear complexity SISO equalizer can be derived. Simulation results for an 8-PSK constellation and hostile radio channels have shown the effectiveness of the proposed algorithms in mitigating the intersymbol interference (ISI).