activity
20132026
most citedModified CRB for Location and Velocity Estimation using Signals of Opportunity

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2026

Optimal Sensor Placement via Graph-constrained Flow Matching

Feng Ji, Jingyang Dai, Wee Peng Tay +1

Optimal sensor placement is a fundamental problem in graph signal processing (GSP), where a limited number of sensors are deployed to reconstruct a continuous signal field. Existin…

eess.SP2025

TransPathNet: A Novel Two-Stage Framework for Indoor Radio Map Prediction

Xin Li, Ran Liu, Saihua Xu +2

Accurate indoor pathloss prediction is crucial for optimizing wireless communication in indoor settings, where diverse materials and complex electromagnetic interactions pose signi…

eess.SP2024

Exploring Dual-Sniffer Passive Localization: Algorithm Design and Experimental Results

Tuo Wu, Lingyu Hou, Hong Niu +3

In this paper, we explore a dual-sniffer passive localization system that detects the timing difference of signals from both commercial base station (eNb) and user equipment (UE) t…

cs.IT2014

Distributed localization of a RF target in NLOS environments

Wenjie Xu, Francois Quitin, Mei Leng +2

We propose a novel distributed expectation maximization (EM) method for non-cooperative RF device localization using a wireless sensor network. We consider the scenario where few o…

cs.IT2013★ 1 cited

Modified CRB for Location and Velocity Estimation using Signals of Opportunity

Mei Leng, Wee Peng Tay, Chong Meng Samson See +2

We consider the problem of localizing two sensors using signals of opportunity from beacons with known positions. Beacons and sensors have asynchronous local clocks or oscillators…