Demo Data from VLDB 2026 / reviewers in the wild / expert
Zhongmin Li
dblp:42/1675
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications › signal processing for communications › array signal processing
direction-of-arrival estimation |
0.3 | 1 | 2017 | AWL: Turning Spatial Aliasing From Foe to Friend for Accurate WiFi Localization · CoNEXT 2017 |
Wireless sensing and localization
multipath mitigation |
0.3 | 1 | 2017 | AWL: Turning Spatial Aliasing From Foe to Friend for Accurate WiFi Localization · CoNEXT 2017 |
Wireless networking › cognitive radio
channel hopping |
0.1 | 1 | 2017 | AWL: Turning Spatial Aliasing From Foe to Friend for Accurate WiFi Localization · CoNEXT 2017 |
Physical-layer communications › antenna arrays
virtual antenna array |
0.1 | 1 | 2017 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | AWL: Turning Spatial Aliasing From Foe to Friend for Accurate WiFi LocalizationabstractOwing 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 |
CoNEXT | 2 |
| 2007 | PeerTR: A Peer-to-Peer Terrain Roaming Architecture
Zhanwu Yu, Zhongmin Li |
APPT | 3 |
| 2007 | Object-Based Storage Model for Object-Oriented Database
Zhongmin Li, Zhanwu Yu |
NPC | 1 |