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Zhongmin Li

dblp:42/1675 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2017
—ORCID · conflict

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

Systems, architecture and hardware · 2 · 1 first-authorComputer networks · 1

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
1 paper
Physical-layer communications · 50% Wireless sensing and localization · 38% Wireless networking · 12%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › signal processing for communications › array signal processing
direction-of-arrival estimation
0.312017
AWL: Turning Spatial Aliasing From Foe to Friend for Accurate WiFi Localization · CoNEXT 2017
Wireless sensing and localization
multipath mitigation
0.312017
AWL: Turning Spatial Aliasing From Foe to Friend for Accurate WiFi Localization · CoNEXT 2017
Wireless networking › cognitive radio
channel hopping
0.112017
AWL: Turning Spatial Aliasing From Foe to Friend for Accurate WiFi Localization · CoNEXT 2017
Physical-layer communications › antenna arrays
virtual antenna array
0.112017
AWL: Turning Spatial Aliasing From Foe to Friend for Accurate WiFi Localization · CoNEXT 2017

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

spatial aliasing · 0.3software-defined radio · 0.3
YearPublicationVenuePosition
2017 AWL: Turning Spatial Aliasing From Foe to Friend for Accurate WiFi Localization
abstract
Owing to great potential in smart home and human-computer interactive applications, WiFi indoor localization has attracted extensive attentions in the past several years. The state-of-the-art systems have successfully achieved decimeter-level accuracies. However, the high accuracy is acquired at the cost of dense access point (AP) deployment, employing large size of frequency bandwidths or special-purpose radar signals which are not compatible with existing WiFi protocol, limiting their practical deployments. This paper presents the design and implementation of AWL, an accurate indoor localization system that enables a single WiFi AP to achieve decimeter-level accuracy with only one channel hopping. The key enabler of the system is we novelly employ channel hopping to create virtual antennas, without the need of adding more antennas or physically move the antennas' positions for a larger antenna array. We successfully utilize the widely known "bad" spatial aliasing to improve the AoA estimation accuracy. A novel multipath suppression scheme is also proposed to combat the severe multipath issue indoors. We build a prototype of AWL on WARP software-defined radio platform. Comprehensive experiments manifest that AWL achieves a median localization accuracy of 38 cm in a rich multipath indoor environment with only a single AP equipped with 6 antennas. In a small scale area, AWL is able to accurately track a moving device's trajectory, enabling applications such as writing/drawing in the air.
Zhe Chen 0015, Zhongmin Li, Xu Zhang 0021, Guorong Zhu, Yuedong Xu 0001, Jie Xiong 0001, Xin Wang 0002
CoNEXT2
2007 PeerTR: A Peer-to-Peer Terrain Roaming Architecture
Zhanwu Yu, Zhongmin Li
APPT3
2007 Object-Based Storage Model for Object-Oriented Database
Zhongmin Li, Zhanwu Yu
NPC1