dc.contributor.author | Gogineni, Vinay Chakravarthi | |
dc.contributor.author | Chakraborty, Mrityunjoy | |
dc.date.accessioned | 2023-01-30T11:13:29Z | |
dc.date.available | 2023-01-30T11:13:29Z | |
dc.date.created | 2022-06-14T10:47:03Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | IEEE Transactions on Circuits and Systems I: Regular Papers. 2020, 67 (3), 903-912. | en_US |
dc.identifier.issn | 1549-8328 | |
dc.identifier.uri | https://hdl.handle.net/11250/3047041 | |
dc.description.abstract | In this paper, we consider the problem of estimating multiple parameter vectors over a sensor network in a multitasking framework and under temporally-correlated input conditions. For this, an efficient clustered multitask diffusion affine projection algorithm (APA) is proposed that enjoys both intra-cluster and inter-cluster cooperation via diffusion. It is, however, shown that while collaboration in principle is a useful step to enhance the performance of a network, uncontrolled mode of inter-cluster collaboration can at times be detrimental to its convergence performance, especially near steady-state. To overcome this, a controlled form of inter-cluster collaboration is proposed by means of a control variable which helps in maintaining the collaboration in right direction. The proposed controlled multitask strategy attains improved performance in terms of both transient and steady-state mean square deviation (MSD) vis-a-vis existing algorithms, as also confirmed by simulation studies. We carry out a detailed performance analysis of the proposed algorithm, obtain stability bounds for its convergence in both mean and mean-square senses, and derive expressions for the network level MSD. Simulation results reveal that the proposed scheme performs consistently well even in the absence of cluster information. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | IEEE | en_US |
dc.title | Improving the Performance of Multitask Diffusion APA via Controlled Inter-Cluster Cooperation | en_US |
dc.title.alternative | Improving the Performance of Multitask Diffusion APA via Controlled Inter-Cluster Cooperation | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | acceptedVersion | en_US |
dc.rights.holder | © IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
dc.source.pagenumber | 903-912 | en_US |
dc.source.volume | 67 | en_US |
dc.source.journal | IEEE Transactions on Circuits and Systems I: Regular Papers | en_US |
dc.source.issue | 3 | en_US |
dc.identifier.doi | 10.1109/TCSI.2019.2957342 | |
dc.identifier.cristin | 2031679 | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 2 | |