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Mani Jain

dblp:31/2446 · DBLP profile ↗
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4ranked-venue papers
1as first author
0since 2021 · last 2005
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 4 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
2 papers
Physical-layer communications · 73% Wireless networking · 27%

Topics — the 8 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wireless networking › wireless personal area network
bluetooth
0.112005
Noncoherent sequence detection receiver for Bluetooth systems · IEEE J. Sel. Areas Commun. 2005
Physical-layer communications
channel coding
0.112005
Improved decoding for Bluetooth systems · IEEE Trans. Commun. 2005
Physical-layer communications › receiver design
limiter-discriminator detection
0.112005
Improved decoding for Bluetooth systems · IEEE Trans. Commun. 2005
Physical-layer communications
modulation
0.112005
Improved decoding for Bluetooth systems · IEEE Trans. Commun. 2005
Physical-layer communications › signal detection › sequence estimation
noncoherent sequence detection
0.112005
Noncoherent sequence detection receiver for Bluetooth systems · IEEE J. Sel. Areas Commun. 2005
Physical-layer communications › signal detection
sequence estimation
0.112005
Noncoherent sequence detection receiver for Bluetooth systems · IEEE J. Sel. Areas Commun. 2005
Wireless networking
wireless personal area network
0.112005
Noncoherent sequence detection receiver for Bluetooth systems · IEEE J. Sel. Areas Commun. 2005
Physical-layer communications › channel coding › error control coding
forward error correction
0.012005
Noncoherent sequence detection receiver for Bluetooth systems · IEEE J. Sel. Areas Commun. 2005

Methods — techniques the papers use, named apart from their topics

trellis-based detection · 0.1single-error-correcting double-adjacent-error-correcting · 0.1hamming code decoding · 0.1filter design · 0.1
YearPublicationVenuePosition
2005 Improved decoding for Bluetooth systems
abstract
This paper presents an improved error-correction decoder for Bluetooth systems employing the expurgated (15,10) binary Hamming code to protect the payload of data medium rate packets. For detection prior to error-correction decoding we consider the application of the limiter-discriminator detector with integrate and dump filter (LDI detector) and a two-state sequence detector (SD), respectively. The proposed decoder exploits the error statistic of the respective detector output and makes use of the single-error-correcting-double-adjacent-error-correcting (SEC-DAEC) capability of the expurgated (15,10) code. As a result, notable improvements in data throughput and/or transmission range are achieved. Since the performance gains come at no additional cost in implementation, the proposed decoder is highly attractive for application in low-cost Bluetooth devices.
Lutz Lampe, Mani Jain, Robert Schober
ICC2
2005 Noncoherent sequence detection receiver for Bluetooth systems
abstract
The design of power efficient receivers for Bluetooth systems is a challenging task due to stringent complexity constraints. In this paper, we tackle this problem and present a receiver design consisting of a single filter and a subsequent noncoherent sequence detector. This receiver outperforms the conventional discriminator detector by more than 4 dB for typical Bluetooth channels. Thereby, the proposed noncoherent sequence detection (NSD) algorithm is both favorably low complex as it operates on a two-state trellis and highly robust against channel phase variations caused by low-cost local oscillators. The particular filter design accomplishes effective out-of-band interference suppression. Different from previous work on sequence detector receivers published in the literature, we take possible variations of the Bluetooth modulation parameters into account, and we also devise efficient methods for combined NSD and forward error correction decoding. Hence, the presented receiver design is an attractive solution for practical Bluetooth devices.
Lutz Lampe, Robert Schober, Mani Jain
IEEE J. Sel. Areas Commun.3
2005 Improved decoding for Bluetooth systems
abstract
This letter presents an improved error-correction decoder for Bluetooth systems, employing the limiter-discriminator detector with integrate and dump filter (LDI detector) and the expurgated (15,10) binary Hamming code, which is used to protect the payload of data medium-rate packets. The proposed decoder exploits the error statistic of the LDI detector output and makes use of the single-error-correcting double-adjacent-error-correcting (SEC-DAEC) capability of the expurgated (15,10) code. As a result, notable improvements in data throughput and/or transmission range are achieved. Since the performance gains come at no additional cost in implementation, the proposed decoder is highly attractive for application in low-cost Bluetooth devices.
Lutz Lampe, Mani Jain, Robert Schober
IEEE Trans. Commun.2
2004 Sequence detection for Bluetooth systems
abstract
The design of power efficient receivers for Bluetooth systems is a challenging task due to stringent complexity constraints. We tackle this problem and present a novel receiver consisting of a single filter and a subsequent sequence detector. This receiver outperforms the conventional discriminator detector by more than 4 dB for typical Bluetooth channels. Thereby, the proposed sequence detection (SD) algorithm is of favorable low complexity, as it operates on a two-state trellis, and is highly robust against channel phase variations caused by low-cost local oscillators. Different from previously published work on SD, we take possible variations of the Bluetooth modulation parameters into account. Hence, the presented receiver design is an attractive solution for practical Bluetooth devices.
Mani Jain, Lutz Lampe, Robert Schober
GLOBECOM1