1995 International Conference on Acoustics, Speech, and Signal Processing
DOI: 10.1109/icassp.1995.479560
|View full text |Cite
|
Sign up to set email alerts
|

Equalizer for real time high rate transmission in underwater communications

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
4
0

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 9 publications
(5 citation statements)
references
References 2 publications
0
4
0
Order By: Relevance
“…It is important to note that in contrast to previous works [2], [8], [9], [11]- [13], the calculation of the MSE of equation ( 5) encompasses all synchronisation modes (Data-Aided (DA), Non-Data-Aided (NDA) and Code-Aided(CA)); in particular, for the CA mode, the probability of the constellation point x ∈ χ can be computed using the LLR values (see (3)) at the output of the channel decoder. With some basic mathematical derivations, we can obtain ∂J ∂f k , ∂J ∂g k and ∂J ∂θ k .…”
Section: The Proposed Adaptive Turbo Equalizermentioning
confidence: 68%
See 1 more Smart Citation
“…It is important to note that in contrast to previous works [2], [8], [9], [11]- [13], the calculation of the MSE of equation ( 5) encompasses all synchronisation modes (Data-Aided (DA), Non-Data-Aided (NDA) and Code-Aided(CA)); in particular, for the CA mode, the probability of the constellation point x ∈ χ can be computed using the LLR values (see (3)) at the output of the channel decoder. With some basic mathematical derivations, we can obtain ∂J ∂f k , ∂J ∂g k and ∂J ∂θ k .…”
Section: The Proposed Adaptive Turbo Equalizermentioning
confidence: 68%
“…Furthermore, for time-varying channels such as underwater acoustic channels, algorithms using constant step-sizes are unable to achieve a good trade-off between the performance and the convergence speed. However, most of the existing literature concerned with MMSE adaptive step-size filters [8], [9], [15]- [17] did not consider the case of turbo equalization; [18] (resp. [19]) proposed an iterative equalization scheme based on the least-symbol-error-rate [20] with a constant (resp.…”
Section: Introductionmentioning
confidence: 99%
“…Because of problems often imposed by the channel's strong multipath, we instead opted to pair all adaptive phase detection functionality with the equalizer. Geller et al in an earlier work in high-speed underwater communications employed similar rationale [9], and other works described in [1] locate PLL functionality in the equalizer rather than solely using adaptive DFE [10].…”
Section: Receiver Modelmentioning
confidence: 97%
“…Equalizer #5 is a DFE with densely spaced forward taps. Similar to the heuristic tap placement approach in [11] and [9], Equalizer #5's sparsely spaced feedback taps are located at symbol intervals with highest channel impulse response magnitudes in a window of 0 ms (packet start) to 195 ms after the peak. The adaptation rate μ is 0 < μ < 2 / N total .…”
Section: Equalizer Comparisonmentioning
confidence: 99%
“…Also in practice, acoustic waves are strongly disturbed by several physical phenomena: significant attenuation, noise, multipath, Doppler effect, low propagation speed of acoustic waves (around 1500 m/s), triply selective channel (time, frequency, space). All these combined effects limit data rates to just a few tens of kbits/s per km [13][14][15][16]. We also have developed a MIMO (Multi-input Multi-output) acoustic platform and obtained theoretical results about equalizing structures to face the harsh multipath acoustic underwater propagation.…”
Section: Underwater Acoustic Communicationmentioning
confidence: 99%