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An adaptive iterative receiver structure for the shallow underwater acoustic channel (UAC) is proposed using a decision feedback equalizer (DFE) and employing bit-interleaved coded modulation with iterative decoding (BICM-ID) in conjunction with adaptive Doppler compensation.
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A multiple differential detection (MDD) sequence estimator, which uses a decision feedback for the demodulation of Gaussian minimum shift keying (GMSK) signals, is described in [7].
Note that when the number of equations is less than the number of unknowns it is necessary to use a decision feedback equalizer (DFE) to help the sphere decoding to converge.
With Tomlinson-Harashima precoding, the error propagation problem observed in systems using a decision-feedback equalizer vanishes, because the feedback processing is done at the transmitter.
SC-FDE systems can also use a decision-feedback equalizer (DFE) to improve their error performance.
This is shown by using a regular decision feedback equalizer (DFE) with both wireless and RF amplifier noise.
Here a hybrid multiple criteria decision-making model to address dependent relationships among criteria, using a decision-making trial and evaluation laboratory along with an analytical network process, to decide the relative weights of criteria, showing inter-dependence and feedback.
It was also shown in[5] how a decision feedback equalizer can be used in a turbo equalizer configuration.
In [26], the authors combined a Kalman filter with a decision feedback equaliser (DFE).
A decision feedback equalizer (DFE) on sample level might solve this problem.
For the dynamic channel estimation, a scheme using hard decision feedback after MRC with adaptive low-pass filtering is demonstrated to be successful in providing robust data detection for long data bursts, in the presence of dramatic channel variation.
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