Distributed detection in wireless sensor networks under multiplicative fading via generalized score tests
In this article, we address the problem of distributed detection of a noncooperative (unknown
emitted signal) target with a wireless sensor network. When the target is present, sensors …
emitted signal) target with a wireless sensor network. When the target is present, sensors …
Detection and localization of one-bit signal in multiple distributed subarray systems
A multiple distributed subarray (MDS) system usually transmits the raw data to the fusion
center (FC), where the target detection and localization can be processed. Transmitting raw …
center (FC), where the target detection and localization can be processed. Transmitting raw …
Generalized locally most powerful tests for distributed sparse signal detection
In this paper we tackle distributed detection of a localized phenomenon of interest (POI)
whose signature is sparse via a wireless sensor network. We assume that both the position …
whose signature is sparse via a wireless sensor network. We assume that both the position …
A reinforcement learning-based sleep scheduling algorithm for cooperative computing in event-driven wireless sensor networks
Z Guo, H Chen - Ad hoc networks, 2022 - Elsevier
Emergency event monitoring is an important application of wireless sensor networks
(WSNs). In the traditional cloud-assisted WSNs, the monitored data needs to be sent back to …
(WSNs). In the traditional cloud-assisted WSNs, the monitored data needs to be sent back to …
Distributed detection of sparse stochastic signals with 1-bit data in tree-structured sensor networks
In this paper, we consider the problem of detection of sparse stochastic signals based on 1-
bit data with tree-structured sensor networks (TSNs). In the literature, distributed detection of …
bit data with tree-structured sensor networks (TSNs). In the literature, distributed detection of …
One-bit spectrum sensing based on statistical covariances: Eigenvalue moment ratio approach
One-bit analog-to-digital converter (ADC), performing signal sampling as an extreme simple
comparator, is an overwhelming technology for spectrum sensing due to its low-cost, low …
comparator, is an overwhelming technology for spectrum sensing due to its low-cost, low …
Robust linear decentralized tracking of a time-varying sparse parameter relying on imperfect CSI
KP Rajput, S Srivastava… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Robust linear decentralized tracking of a time-varying sparse parameter is studied in a
multiple-input–multiple-output (MIMO) wireless sensor network (WSN) under channel state …
multiple-input–multiple-output (MIMO) wireless sensor network (WSN) under channel state …
Deep reinforcement learning-based one-to-multiple cooperative computing in large-scale event-driven wireless sensor networks
Emergency event monitoring is a hot topic in wireless sensor networks (WSNs). Benefiting
from the progress of Micro-Electro-Mechanical System (MEMS) technology, it is possible to …
from the progress of Micro-Electro-Mechanical System (MEMS) technology, it is possible to …
[HTML][HTML] 一种面向低成本轻量级雷达的单比特复用阵列信号收发框架
冯力方， 黄磊， 周汉飞， 李强， 刘仕奇， 张沛昌 - 雷达学报, 2024 - radars.ac.cn
面向低成本轻量级雷达的应用需求, 该文提出了一种联合单比特采样量化和时分复用接收机的
雷达信号收发框架. 首先, 通过介绍该框架的工作原理, 阐述其在节省接收机数量方面的优势 …
雷达信号收发框架. 首先, 通过介绍该框架的工作原理, 阐述其在节省接收机数量方面的优势 …
Distributed Quantized Detection of Sparse Signals Under Byzantine Attacks
This paper investigates distributed detection of sparse stochastic signals with quantized
measurements under Byzantine attacks, where sensors may send falsified data to the …
measurements under Byzantine attacks, where sensors may send falsified data to the …