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Meenakshi Rawat

Researcher at Indian Institute of Technology Roorkee

Publications -  127
Citations -  1429

Meenakshi Rawat is an academic researcher from Indian Institute of Technology Roorkee. The author has contributed to research in topics: Predistortion & Amplifier. The author has an hindex of 16, co-authored 105 publications receiving 1053 citations. Previous affiliations of Meenakshi Rawat include Ohio State University & Indian Institutes of Technology.

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Adaptive Digital Predistortion of Wireless Power Amplifiers/Transmitters Using Dynamic Real-Valued Focused Time-Delay Line Neural Networks

TL;DR: In this paper, a real-valued focused time-delay neural network (RVFTDNN) was proposed for the linearization of third-generation power amplifier (PA) behavioral modeling.
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A Ray Launching-Neural Network Approach for Radio Wave Propagation Analysis in Complex Indoor Environments

TL;DR: A novel deterministic approach to model the radio wave propagation channels in complex indoor environments reducing computational complexity is proposed, which allows the use of a lower number of launched rays in the simulation scenario whereas intermediate points can be predicted using neural network.
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Linearization of Concurrent Tri-Band Transmitters Using 3-D Phase-Aligned Pruned Volterra Model

TL;DR: In this article, a 3D phase-aligned pruned Volterra DPD was proposed for concurrent tri-band power amplifiers (PAs), which can effectively compensate for the crosstalk effects between the fundamental frequencies, their harmonics, and intermodulation products.
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Composite Neural Network Digital Predistortion Model for Joint Mitigation of Crosstalk, $I/Q$ Imbalance, Nonlinearity in MIMO Transmitters

TL;DR: With the increase in the dimensions of MIMO transmitter, the proposed NN-based DPD model provides a better compensation for transmitter imperfections and also reduces the complexity as compared to the state-of-the-art DPD methods.