2017
DOI: 10.1049/iet-com.2017.0021
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Low‐complexity frequency‐domain turbo equalisation for doubly‐selective HF channel on GPP‐based SDR platform

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Cited by 3 publications
(4 citation statements)
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References 15 publications
(16 reference statements)
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“…There are various approaches to IBI cancellation in overlap FDE, either with serial decision feedback for joint ISI/IBI cancellation [52], with hard decision feedback for successive IBI cancellation [53], or with hybrid turbo and hard successive decision feedback [49]. Unlike these references, which uses decisions on previously processed sub-blocks, here we focus on parallel IBI cancellation, using solely a feedback generated from the previous SI/TI, for ensuring parallel processing of sub-blocks in practical implementations.…”
Section: Overlap Fde With Interference Cancellationmentioning
confidence: 99%
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“…There are various approaches to IBI cancellation in overlap FDE, either with serial decision feedback for joint ISI/IBI cancellation [52], with hard decision feedback for successive IBI cancellation [53], or with hybrid turbo and hard successive decision feedback [49]. Unlike these references, which uses decisions on previously processed sub-blocks, here we focus on parallel IBI cancellation, using solely a feedback generated from the previous SI/TI, for ensuring parallel processing of sub-blocks in practical implementations.…”
Section: Overlap Fde With Interference Cancellationmentioning
confidence: 99%
“…This strategy inherently generates IBI between sub-blocks, which is mitigated either by selecting an appropriate sub-block length N , or by using additional signal processing. Some recent usage examples include its usage with faster-than-Nyquist signalling [48], and with doubly selective channels [49]. In this section, various EP-based overlap FDE receivers are derived and evaluated.…”
Section: A System Modelmentioning
confidence: 99%
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“…To directly estimate the time domain signal distortion induced by the HPA, signal‐to‐noise ratio (SDR) evaluation is introduced in this section as follows: prefixSDR()xgoodbreak=10prefixlg{}αExt[]n2Eboldx¯t[]nxt[]n2,$$\begin{equation} \operatorname{SDR}{\left({x} \right)}=10\lg {\left\lbrace \frac{\alpha \operatorname{E}{\left({{{\left| {{\mathbf {x}}_{t}}{\left[ n \right]} \right|}}^{2}} \right)}}{\operatorname{E}{\left({{{\left| {{{\mathbf {\bar{x}}}}_{t}}{\left[ n \right]}-{{\mathbf {x}}_{t}}{\left[ n \right]} \right|}}^{2}} \right)}} \right\rbrace} , \end{equation}$$where xt[n]${{\mathbf {x}}_{t}}[ n ]$ is the original time frequency signal, boldx¯t[n]${{\mathbf {\bar{x}}}_{t}}[ n ]$ is the time domain signal amplified by HPA without demodulation. SDR is relevant to modulated signal quality, defined in broadband and contains out‐of‐band and in‐band noise statistics, while MER solely measures in‐band noise [43].…”
Section: Proposed Hpa Energy Efficiency Maximization Scheme Applied W...mentioning
confidence: 99%