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20092016
most citedSparsity-Aware Sensor Collaboration for Linear Coherent Estimation

60 citations · 154 across the 7 of their papers we have counts for

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6 papers · 1 filter

cs.IT2016★ 28 cited

Optimized Sensor Collaboration for Estimation of Temporally Correlated Parameters

Sijia Liu, Swarnendu Kar, Makan Fardad +1

In this paper, we aim to design the optimal sensor collaboration strategy for the estimation of time-varying parameters, where collaboration refers to the act of sharing measuremen…

cs.IT2012

Controlled Collaboration for Linear Coherent Estimation in Wireless Sensor Networks

Swarnendu Kar, Pramod K. Varshney

We consider a wireless sensor network consisting of multiple nodes that are coordinated by a fusion center (FC) in order to estimate a common signal of interest. In addition to bei…

cs.IT2012

Linear Coherent Estimation with Spatial Collaboration

Swarnendu Kar, Pramod K. Varshney

A power constrained sensor network that consists of multiple sensor nodes and a fusion center (FC) is considered, where the goal is to estimate a random parameter of interest. In c…

cs.IT2012★ 8 cited

Cramér-Rao Bounds for Polynomial Signal Estimation using Sensors with AR(1) Drift

Swarnendu Kar, Pramod K. Varshney, Marimuthu Palaniswami

We seek to characterize the estimation performance of a sensor network where the individual sensors exhibit the phenomenon of drift, i.e., a gradual change of the bias. Though esti…

cs.IT2012★ 2 cited

Spatial Whitening Framework for Distributed Estimation

Swarnendu Kar, Pramod K. Varshney, Hao Chen

Designing resource allocation strategies for power constrained sensor network in the presence of correlated data often gives rise to intractable problem formulations. In such situa…

cs.IT2012★ 55 cited

Optimal Identical Binary Quantizer Design for Distributed Estimation

Swarnendu Kar, Hao Chen, Pramod K. Varshney

We consider the design of identical one-bit probabilistic quantizers for distributed estimation in sensor networks. We assume the parameter-range to be finite and known and use the…