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Consensus-based distributed particle filtering algorithms for cooperative blind equalization in receiver networks

Claudio J. Bordin, Marcelo G. S. Bruno
2011 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
We describe in this paper novel consensus-based distributed particle filtering algorithms which are applied to cooperative blind equalization of frequency-selective channels in a network with one transmitter  ...  Additionally, parallel minimum consensus iterations are used to assess the convergence of the quantized consensus averages and ensure accordingly the coherence of particle sets across the different network  ...  We assume that the observations y r,0:n {y r,0 , . . . , y r,n } at the r−th node of a network of R receivers are obtained as the output of the additive noise frequency-selective FIR channel y r,n = h  ... 
doi:10.1109/icassp.2011.5947221 dblp:conf/icassp/BordinB11 fatcat:mcl6q6udnfckhmwonuertgceym

A particle filtering algorithm for cooperative blind equalization using VB parametric approximations

Claudio J. Bordin, Marcelo G. S. Bruno
2010 2010 IEEE International Conference on Acoustics, Speech and Signal Processing  
We introduce in this paper a new distributed sequential Monte Carlo (SMC) algorithm for blind equalization of frequencyselective broadcast channels.  ...  In the considered setup, multiple receiving nodes sense independently distorted versions of the same broadcast signal and cooperate to recover it.  ...  CONCLUSIONS We introduced in this paper a novel cooperative particle filter (PF) algorithm for blind equalization of frequency-selective broadcast channels.  ... 
doi:10.1109/icassp.2010.5495827 dblp:conf/icassp/BordinB10 fatcat:d4zipta2cbcmjdb5luwndvmepa

2021 Index IEEE Transactions on Signal Processing Vol. 69

2021 IEEE Transactions on Signal Processing  
-that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  Dong, Y., +, TSP 2021 2316-2329 Cooperative communication Centralized Cooperative Sensor Fusion for Dynamic Sensor Network With Limited Field-of-View via Labeled Multi-Bernoulli Filter.  ... 
doi:10.1109/tsp.2022.3162899 fatcat:kcubj566gzb4zkj7xb5r5we3ri

Table of Contents

2021 IEEE Transactions on Signal Processing  
Chi Centralized Cooperative Sensor Fusion for Dynamic Sensor Network With Limited Field-of-View via Labeled Multi-Bernoulli Filter . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Schmid Particle Filtering for Nonlinear/Non-Gaussian Systems With Energy Harvesting Sensors Subject to Randomly Occurring Sensor Saturations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/tsp.2021.3136798 fatcat:kzkdhzcz3fgx3jv6gfjofooseq

Table of Contents

2021 IEEE Transactions on Signal Processing  
Schmid Centralized Cooperative Sensor Fusion for Dynamic Sensor Network With Limited Field-of-View via Labeled Multi-Bernoulli Filter . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Particle Filtering for Nonlinear/Non-Gaussian Systems With Energy Harvesting Sensors Subject to Randomly Occurring Sensor Saturations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/tsp.2021.3136800 fatcat:zhf46mb3rbdlnnh3u2xizgxof4

2020 Index IEEE Transactions on Signal Processing Vol. 68

2020 IEEE Transactions on Signal Processing  
., +, TSP 2020 3769-3778 Cross Z-Complementary Pairs for Optimal Training in Spatial Modulation Over Frequency Selective Channels.  ...  ., +, TSP 2020 4700-4712 Cross Z-Complementary Pairs for Optimal Training in Spatial Modulation Over Frequency Selective Channels.  ...  Topological Sweep for Multi-Target Detection of Geostationary Space Objects. Liu, D., +, TSP 2020  ... 
doi:10.1109/tsp.2021.3055469 fatcat:6uswtuxm5ba6zahdwh5atxhcsy

2010 Index IEEE Transactions on Signal Processing Vol. 58

2010 IEEE Transactions on Signal Processing  
., +, TSP Sept. 2010 4811-4823 Filter-and-Forward Distributed Beamforming in Relay Networks With Frequency Selective Fading.  ...  ., +, TSP June 2010 3352-3359 Blind equalizers Equalization and Carrier Phase Recovery of CMA and MMA in Blind Adap- tive Receivers. Yuan, J.  ...  Global Positioning System A Fixed-Lag Particle Filter for the Joint Detection/Compensation of Interference Effects in GPS Navigation.  ... 
doi:10.1109/tsp.2010.2092533 fatcat:4y66ezuo7zf6doe6nwjqwtc42i

Autocorrelation-Based Decentralized Sequential Detection of OFDM Signals in Cognitive Radios

S. Chaudhari, V. Koivunen, H.V. Poor
2009 IEEE Transactions on Signal Processing  
,Roman, T., Enescu, M., Koivunen, V., (2004) Time-Varying Carrier Offset Tracking in OFDM Systems Using Particle Filtering.  ...  • Werner, S., Mobien, M., Huang, Y-H., Koivunen, V., (2008) Decentral- ized Set-Membership Adaptive Estimation for Clustered Sensor Networks. IEEE ICASSP, pp. 3573-3576.  ... 
doi:10.1109/tsp.2009.2019176 fatcat:2p3v2vzorrekjj6odz5a6fxxxa

SAM 2020 Author Index

2020 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM)  
Maximum Privacy under Perfect Utility in Sensor Networks Wang, Chunyang SS05.2 Adaptive Beamforming Using Frequency Diverse MIMO Radar with Nonlinear Frequency Offset Wang, Fei R09.1 Joint  ...  via Block-Sparse SDR Chun-hua, Chu R07.2 MIMO Radar Waveform Joint Optimization Design in Time and Frequency Domain Ciuonzo, Domenico R11.3 Multi-bit Decentralized Detection of a Non- cooperative  ... 
doi:10.1109/sam48682.2020.9104397 fatcat:cfp5gsikrzabhhcnkalahjkxze

Design of large polyphase filters in the Quadratic Residue Number System

Gian Carlo Cardarilli, Alberto Nannarelli, Yann Oster, Massimo Petricca, Marco Re
2010 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers  
equation using a particle filter (PF).  ...  We implement the likelihood consensus method in a distributed particle filtering scheme using local low-rate communications. Each sensor runs a local particle filter that estimates the global state.  ... 
doi:10.1109/acssc.2010.5757589 fatcat:ccxnu5owr5fyrcjcqukumerueq

2019 Index IEEE Transactions on Signal Processing Vol. 67

2019 IEEE Transactions on Signal Processing  
., +, TSP July 15, 2019 3704- 3718 Cooperative communication Decentralized Gaussian Filters for Cooperative Self-Localization and Multi-Target Tracking.  ...  ., +, TSP Feb. 15, 2019 899-914 Low-Complexity Equalization of Orthogonal Signal-Division Multiplexing in Doubly-Selective Channels.  ...  M Machine bearings Quickest Change Detection in the Presence of a Nuisance Change. Lau, T.S., +, TSP Oct. 15  ... 
doi:10.1109/tsp.2020.2968163 fatcat:dvvpqntb2rc2bjed5nnk4xora4

2013 Index

2014 IEEE Transactions on Wireless Communications  
-that appeared in this periodical during 2013, and items from previous years that were commented upon or corrected in 2013.  ...  The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  Zhang, Xiuning, +, TWC November 2013 5607-5619 Frequency selective surfaces Relay Selection Strategies for Single-Carrier Frequency-Domain Equal-ization Multi-Relay Cooperative Networks.  ... 
doi:10.1109/twc.2011.09.499-tw1401-index fatcat:w5ya5mg3sbcodb2crtuaoyk3su

Cooperative Perception Technology of Autonomous Driving in the Internet of Vehicles Environment: A Review

Guangzhen Cui, Weili Zhang, Yanqiu Xiao, Lei Yao, Zhanpeng Fang
2022 Sensors  
of autonomous driving cooperative perception technology in the IoV environment.  ...  Simultaneously, combined with the practical application of V2X, the influence of network communication performance on cooperative perception is analyzed, considering factors such as latency, packet loss  ...  Acknowledgments: This paper and research are inseparable from the joint efforts and help of the advisors and team members. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s22155535 pmid:35898039 pmcid:PMC9332497 fatcat:x2mghmdhafatjboshktjtpjxxa

Instant Handoffs for Wireless Infrastructure Meshed Networks

Alexander A. Kist
2008 2008 Australasian Telecommunication Networks and Applications Conference  
Compressed Sensing Using Chaos Filters Sensor Networks Automatic Placement of Actors Within Wireless Sensor-Actor Networks Sami J.  ...  The performance analysis of cooperative MSE-OFDM in multipath fading channels has been done and the effect of carrier frequency offset and PAPR have been studied.  ... 
doi:10.1109/atnac.2008.4783338 fatcat:5vdigbtf5nfo7ifyeepevnth54

2020 Index IEEE Transactions on Vehicular Technology Vol. 69

2020 IEEE Transactions on Vehicular Technology  
VANETs; TVT Dec. 2020 15933-15946 Hoseini, S.A., Ding, M., Hassan, M., and Chen, Y., Analyzing the Impact of Molecular Re-Radiation on the MIMO Capacity in High-Frequency Bands; TVT Dec. 2020 15458-15471  ...  + Check author entry for coauthors ami-mFading Channels With Integer and Non-Integerm; TVT March 2020 2785-2801 Hoang, T.M., Tran, X.N., Nguyen, B.C., and Dung, L.T., On the Performance of MIMO Full-Duplex  ...  ., +, TVT Jan. 2020 522-536 Nearly Optimal Sensor Selection for TDOA-Based Source Localization in Wireless Sensor Networks.  ... 
doi:10.1109/tvt.2021.3055470 fatcat:536l4pgnufhixneoa3a3dibdma
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