A 2.3-mW, 5-Gb/s Low-Power Decision-Feedback Equalizer Receiver Front-End and its Two-Step, Minimum Bit-Error-Rate Adaptation Algorithm

We present the results of investigation for influence of amplified spontaneous emission (ASE) noise, noise figure (NF) and chromatic dispersion on the performance of middle-distance Dense-wavelength-division-multiplexing (DWDM) networks using low-power pumped distributed Raman amplifiers (DRAs) in two different pump configurations, i.e., forward and backward pumping. We found that the pumping configurations, ASE noise, and dispersion play an important role for improving network performance by decrease of noise figure and bit error rate (BER) of the system. Simulation results show that the lowest bit error rate and low noise figure were obtained, when using forward pumping configuration. Moreover, we have also compared ASE noise powers of the simulation with these of the experiment. These results conclude that DRA with low pump power ($<1$~W) is the promising key technology for short-- and/or middle-distance DWDM transmission networks.

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A 6.25-Gbps 4-tap low-power decision feedback equalizer in 0.13µm CMOS technology

2013 IEEE International Conference of Electron Devices and Solid-state Circuits ◽

10.1109/edssc.2013.6628236 ◽

2013 ◽

Author(s):

Xuelin Zhang ◽

Yuan Wang ◽

Jian Cao ◽

Song Jia ◽

Ganggang Zhang ◽

...

Keyword(s):

Low Power ◽

Cmos Technology ◽

Decision Feedback ◽

Decision Feedback Equalizer

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Bit Error Rate Performance of Decision Feedback Detection for Space-Time Block Coded Systems over Time-Selective Fading Channels

Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005. ◽

10.1109/icassp.2005.1416147 ◽

2006 ◽

Author(s):

Kyung Seung Ahn ◽

Jae-Young Kim ◽

Heung Ki Baik

Keyword(s):

Fading Channels ◽

Bit Error Rate ◽

Error Rate ◽

Space Time ◽

Decision Feedback ◽

Rate Performance ◽

Selective Fading ◽

Time Block ◽

Coded Systems ◽

Over Time

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A low power normalized-LMS decision feedback equalizer for a wireless packet modem

Proceedings of the International Symposium on Low Power Electronics and Design ◽

10.1109/lpe.2002.1029623 ◽

2003 ◽

Author(s):

D. Garrett ◽

C. Nicol ◽

A. Blanksby ◽

C. Howland

Keyword(s):

Low Power ◽

Decision Feedback ◽

Decision Feedback Equalizer ◽

Normalized Lms ◽

Wireless Packet

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Low-power self-equalizing driver for silicon carrier interconnects with low bit error rate

2009 IEEE 18th Conference on Electrical Performance of Electronic Packaging and Systems ◽

10.1109/epeps.2009.5338482 ◽

2009 ◽

Author(s):

Peter Gadfort ◽

Paul D. Franzon

Keyword(s):

Low Power ◽

Bit Error Rate ◽

Error Rate

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Minimum Symbol-Error Rate Based Adaptive Decision Feedback Equalizer in Underwater Acoustic Channels

IEEE Access ◽

10.1109/access.2017.2772302 ◽

2017 ◽

Vol 5 ◽

pp. 25147-25157 ◽

Cited By ~ 3

Author(s):

Fangjiong Chen ◽

Shaoe Lin ◽

Beixiong Zheng ◽

Qiang Li ◽

Miaowen Wen ◽

...

Keyword(s):

Error Rate ◽

Symbol Error Rate ◽

Decision Feedback ◽

Decision Feedback Equalizer ◽

Underwater Acoustic ◽

Underwater Acoustic Channels

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Joint SNR Target and Rate Adaptation Based on Bit Error Rate Estimation

2005 2nd International Symposium on Wireless Communication Systems ◽

10.1109/iswcs.2005.1547745 ◽

2005 ◽

Cited By ~ 1

Author(s):

Lay Teen Ong ◽

A. Olfat ◽

M. Shikh-Bahaei

Keyword(s):

Bit Error Rate ◽

Error Rate ◽

Rate Adaptation ◽

Rate Estimation

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Transmissibility of 802.15.1 - Compliant Radio in Machining Enclosures in Industrial Environments

ASME 2010 International Manufacturing Science and Engineering Conference, Volume 2 ◽

10.1115/msec2010-34192 ◽

2010 ◽

Author(s):

Richard Sowles ◽

Derek Suen ◽

David Loker ◽

John T. Roth

Keyword(s):

Low Power ◽

Bit Error Rate ◽

Error Rate ◽

Multipath Propagation ◽

Dimensional Space ◽

Signal Strength ◽

Received Signal Strength ◽

Spectrum Analyzer ◽

Cnc Machining ◽

Large Area

Wireless sensors used in plant floor environments have been studied for obstruction and multipath propagation effects on signal quality. The trend towards wireless industrial data networks motivates this study, which explores the use of IEEE 802.15.1 radios in a machine shop at varying levels of operation. Previous studies have investigated the use of a wireless sensor embedded in a rotating tool holder to monitor tool life. In order to obtain information furthering the potential use of low power radio in conjunction with machining enclosures, a Bluegiga WT12 Class 2 Bluetooth 2.1 module is placed within several CNC machining enclosures at varying table positions and heights. An exterior module receives the data from the enclosed unit, and the module’s position is also varied in 3 dimensional space. Bit Error Rate and Received Signal Strength are measured, and the effects of spatial obstruction and multipath propagation are analyzed. An Agilent 8563E spectrum analyzer equipped with an Aaronia HyperLOG 7060 EMC antenna is also used to repeat the measurements at all of the points in order to provide EMI channel characterization and a redundant source of signal power data for comparison. Large-area transmissibility testing indicates that received signal strength is not dependent upon equipment operation. The enclosure tests (perimeter, height, and proximity comparison) suggest that distance, both static and transient path obstructions, multipath propagation, and line-of-sight are factors that influence bit error rate and received signal strength. Spectrum analyzer measurements in our shop show no significant emissions in the 2.4 GHz range that cause interference. At no time during this study did the bit error rate reach 0.2% of the transmitted bits and there were no failures in transmitting text between modules. Overall, the findings indicate that reliable data transmission with low power off-the-shelf Bluetooth modules is feasible.

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