S
Sheetal Kalyani
Researcher at Indian Institute of Technology Madras
Publications - 149
Citations - 1526
Sheetal Kalyani is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topics: Fading & Computer science. The author has an hindex of 16, co-authored 134 publications receiving 1053 citations. Previous affiliations of Sheetal Kalyani include Motorola & Indian Institutes of Technology.
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Analysis of Optimal Combining in Rician Fading with Co-channel Interference
TL;DR: In this article, an approximate symbol error rate (SER), outage probability and rate expression for receive diversity system employing optimum combining when both the desired and the interfering signals are subjected to Rician fading, for the cases of a) equal power uncorrelated interferers b) unequal power interferers c) interferer correlation.
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Low Complexity Decision Directed Channel Tracking for High Mobility OFDM Systems
TL;DR: This work proposes a low complexity DDCT method which exploits the structure of the regression matrix in conjunction with robust statistics to mitigate the effect of error propagation and has a much lower computational complexity and a better error rate performance than the decision directed EM-Kalman and other existing robust statistics based DDCT schemes.
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Cooperative Relaying in a SWIPT Network: Asymptotic Analysis Using Extreme Value Theory for Non-Identically Distributed RVs
Athira Subhash,Sheetal Kalyani +1 more
TL;DR: This paper derives the distribution of the maximum end-to-end (e2e) signal to noise ratio (SNR) in an opportunistic relay selection based cooperative relaying network having a large number of non-identical relay links.
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MSE Analysis of the Iteratively Reweighted Least Squares Algorithm when Applied to M Estimators
TL;DR: This paper derives the theoretical MSE of three M estimators, namely, the Huber's M (HM) estimator, the extreme value theory (EVT) based estimator and the Hampel's 3-part estimator when they are implemented using the IRLS algorithm.
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Asymptotic maximal order statistic for SIR in κ-μ shadowed fading.
TL;DR: In this paper, it was shown that the limiting distribution of the maximum of $L$ independent and identically distributed (i.n.i.d.) signal-to-interference ratio (SIR) random variables (RVs) is a Frechet distribution.