Renfei Bu

Renfei Bu
Delft University of Technology | TU · Department of Applied Mathematics

PhD candidate

About

13
Publications
1,725
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64
Citations
Additional affiliations
September 2011 - June 2015
Hunan University
Position
  • Student

Publications

Publications (13)
Article
In many channels, the transmitted signals do not only face noise, but offset mismatch as well. In the prior art, maximum likelihood (ML) decision criteria have already been developed for noisy channels suffering from signal independent offset . In this paper, such ML criterion is considered for the case of binary signals suffering from Gaussian n...
Article
Decoders minimizing the Euclidean distance between the received word and the candidate codewords are known to be optimal for channels suffering from Gaussian noise. However, when the stored or transmitted signals are also corrupted by an unknown offset, other decoders may perform better. In particular, applying the Euclidean distance on normalized...
Conference Paper
Maximum likelihood (ML) decision criteria have been developed for channels suffering from signal independent offset mismatch. Here, such criteria are considered for signal dependent offset, which means that the value of the offset may differ for distinct signal levels rather than being the same for all levels. An ML decision criterion is derived, a...
Book
Full-text available
In 1989 we organized the first Benelux‐Japan workshop on Information and Communication theory in Eindhoven, the Netherlands. This year, 2019 we celebrate 30 years of our friendship between Asian and European scientists at the AEW11 in Rotterdam, the Netherlands. Many of the 1989 participants are also present at the 2019 event. This year we have man...
Preprint
Full-text available
This year, 2019 we celebrate 30 years of our friendship between Asian and European scientists at the AEW11 in Rotterdam, the Netherlands. Many of the 1989 participants are also present at the 2019 event. This year we have many participants from different parts of Asia and Europe. It shows the importance of this event. It is a good tradition to pay...
Conference Paper
Full-text available
Reliability is a critical issue for modern multi-level cell memories. We consider a multi-level cell channel model such that the retrieved data is not only corrupted by Gaussian noise, but hampered by scaling and offset mismatch as well. We assume that the intervals from which the scaling and offset values are taken are known, but no further assump...
Conference Paper
Full-text available
Data storage systems may not only be disturbed by noise. In some cases, the error performance can also be seriously degraded by offset mismatch. Here, channels are considered for which both the noise and offset are bounded. For such channels, Euclidean distance-based decoding, Pearson distance-based decoding, and Maximum Likelihood decoding are con...
Article
We consider noisy data transmission channels with unknown scaling and varying offset mismatch. Minimum Pearson distance detection is used in cooperation with a difference operator, which offers immunity to such mismatch. Pair-constrained codes are proposed for unambiguous decoding, where in each codeword certain adjacent symbol pairs must appear at...
Article
Full-text available
Underwater wireless sensor networks (UWSNs) have attracted increasing attention in recent years because of their numerous applications in ocean monitoring, resource discovery and tactical surveillance. However, the design of reliable and efficient transmission and routing protocols is a challenge due to the low acoustic propagation speed and comple...
Conference Paper
Full-text available
Underwater acoustic (UWA) channel is bandwidth-limited owing to the low sound speed, severe time-and frequency-selective fading. We believe that improving the spectral-efficiency is a decent approach to increase the capacity of UWA systems. In this paper, we introduce a highly spectrum-efficient MIMO-OFDM system under UWA channel that uses blind ch...
Article
With the rapid development of wireless communication technology, wireless sensor networks (WSNs) have been widely used in many fields. Therefore, the security become an important issue in WSNs. Compared with the wired network, wireless sensor networks have its own features. The one is limited resource, such as energy, computing power and communicat...

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Projects

Projects (2)
Project
Detection of noisy encoded signals transmitted over channels whose characteristics, such as gain or offset, are not completely known. Conventional Euclidean-distance-based detection fails if the mismatch between the actual and modeled channel is too large. We have been searching for alternative detection methods that are more resilient in the face of mismatch. Pearson-distance-based detection or clustering methods have been investigated as alternatives.
Project
In practical storage and communication systems it is usually found that the transmitted or stored sequences do not only suffer from (Gaussian) noise, but also from an unknown gain and/or offset. Recently, Pearson distance based detection techniques in combination with appropriate (de)coding methods which are immune to gain and offset mismatch were proposed by Immink and Weber. The Pearson distance can only fruitfully be used for sets of q-ary codewords, called Pearson codes, that satisfy specific properties. Pearson codes are simple and have very low redundancy, but the drawback is that they are quite sensitive to errors caused by the noise. Goal of my research is to investigate possible ways of extending the Pearson coding concept to improve its performance in noisy channel conditions, while maintaining the resistance against gain/offset mismatch and the low complexity features. Naturally, several (de)coding techniques and detecting schemes, cardinalities and redundancies of coding techniques and performance evaluation will constitute data in the research.