Channel shortening and equalization based on information rate maximization for evolved GSM/EDGE

Kroll, Harald; Altorfer, Stefan; Willi, Thomas; Burg, Andreas; Huang, Qiuting

doi:10.1109/sips.2015.7345018

Cited by 2 publications

(11 citation statements)

References 13 publications

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“…As the HOM shortener is a static and heuristic approach, it neither takes the noise power nor the quality of feedbackx into account when designing w hom . Consequently, the detection performance is often inferior to the UBM shortener [20]. Moreover, the UBM shortener also suffers from performance losses in middle and high SNR regimes.…”

Section: The Optimal Fom Channel Shortener Design For Rs-sovementioning

confidence: 99%

“…Next, we elaborate the optimal FOM shortener design. Although we adopt the same approach as MILB-maximization, the FOM shortener is different from the previous designs [15], [20], which are based on Ungerbeock model and take no feedback into consideration. In [29], the authors extend the UBM shortener to deal with soft feedback and with turbo iterations.…”

Section: The Optimal Fom Channel Shortener Design For Rs-sovementioning

confidence: 99%

“…As there is no feedback filter, with the UBM shortener there is no decision-feedback process in the RS-SOVE. In [1], [20], the UBM shortener was successfully implemented for GSM/EDGE systems, and showed superior detection performance, yet with a much lower complexity than the HOM shortener. However, as shown in [20], in the high signal-to-noise (SNR) regime 1 , the UBM shortener suffers from performance losses and renders a bit-error-rate (BER) error floor.…”

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confidence: 99%

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Optimal Channel Shortener Design for Reduced- State Soft-Output Viterbi Equalizer in Single-Carrier Systems

Hu¹,

Kroll²,

Huang³

et al. 2017

IEEE Trans. Commun.

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We consider optimal channel shortener design for reduced-state soft-output Viterbi equalizer (RS-SOVE) in single-carrier (SC) systems. To use RS-SOVE, three receiver filters need to be designed: a prefilter, a target response and a feedback filter. The collection of these three filters are commonly referred to as the "channel shortener". Conventionally, the channel shortener is designed to transform an intersymbol interference (ISI) channel into an equivalent minimum-phase equivalent form. In this paper, we design the channel shortener to maximize a mutual information lower bound (MILB) based on a mismatched detection model. By taking the decision-feedback quality in the RS-SOVE into consideration, the prefilter and feedback filter are found in closed forms, while the target response is optimized via a gradient-ascending approach with the gradient explicitly derived. The information theoretical properties of the proposed channel shortener are analyzed. Moreover, we show through numerical results that, the proposed channel shortener design achieves superior detection performance compared to previous channel shortener designs at medium and high code-rates.

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Section: The Optimal Fom Channel Shortener Design For Rs-sovementioning

confidence: 99%

Section: The Optimal Fom Channel Shortener Design For Rs-sovementioning

confidence: 99%

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confidence: 99%

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Optimal Channel Shortener Design for Reduced- State Soft-Output Viterbi Equalizer in Single-Carrier Systems

Hu¹,

Kroll²,

Huang³

et al. 2017

IEEE Trans. Commun.

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“…It was shown in [13] that, computing the channel shortening prefilter coefficients in the MILB demodulator requires half the complexity as in the HOM demodulator. With diversity branches, the savings can also be achieved with Algorithm-1.…”

Section: Complexity Analysismentioning

confidence: 99%

“…With diversity branches, the savings can also be achieved with Algorithm-1. This is because that, the inversion of covariance matrix R is required in both demodulators 2 , and step 2 and 7 in Algorithm-1 require a low amount of scalar multiplications and inversions compared to the case with a single diversity branch in [13].…”

Section: Complexity Analysismentioning

confidence: 99%

A low-complexity channel shortening receiver with diversity support for evolved 2G devices

Kroll

Huang

et al. 2016

2016 IEEE International Conference on Communications (ICC)

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The second generation (2G) cellular networks are the current workhorse for machine-to-machine (M2M) communications. Diversity in 2G devices can be present both in form of multiple receive branches and blind repetitions. In presence of diversity, intersymbol interference (ISI) equalization and cochannel interference (CCI) suppression are usually very complex. In this paper, we consider the improvements for 2G devices with receive diversity. We derive a low-complexity receiver based on a channel shortening filter, which allows to sum up all diversity branches to a single stream after filtering while keeping the full diversity gain. The summed up stream is subsequently processed by a single stream Max-log-MAP (MLM) equalizer. The channel shortening filter is designed to maximize the mutual information lower bound (MILB) with the Ungerboeck detection model. Its filter coefficients can be obtained mainly by means of discrete-Fourier transforms (DFTs). Compared with the state-ofart homomorphic (HOM) filtering based channel shortener which cooperates with a delayed-decision feedback MLM (DDF-MLM) equalizer, the proposed MILB channel shortener has superior performance. Moreover, the equalization complexity, in terms of real-valued multiplications, is decreased by a factor that equals the number of diversity branches.

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Channel shortening and equalization based on information rate maximization for evolved GSM/EDGE

Cited by 2 publications

References 13 publications

Optimal Channel Shortener Design for Reduced- State Soft-Output Viterbi Equalizer in Single-Carrier Systems

Optimal Channel Shortener Design for Reduced- State Soft-Output Viterbi Equalizer in Single-Carrier Systems

A low-complexity channel shortening receiver with diversity support for evolved 2G devices

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