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Vesa Lampu

Researcher at Tampere University of Technology

Publications -  12
Citations -  71

Vesa Lampu is an academic researcher from Tampere University of Technology. The author has contributed to research in topics: Predistortion & Linearization. The author has an hindex of 3, co-authored 8 publications receiving 16 citations.

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In-Band Full-Duplex Radar-Communication System

TL;DR: This article formulates the monostatic radar system model starting from the communication system model and shows the accuracy of the proposed system to measure the velocity of mobile objects at various speeds while the device is simultaneously served as a node to perform in-band bidirectional communication.
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Full-Duplexing With SDR Devices: Algorithms, FPGA Implementation, and Real-Time Results

TL;DR: A novel nonlinear digital self-interference canceller algorithm based on an augmented Hammerstein model, its implementation details on a software-defined radio (SDR) platform, and performance results of real-time full-duplex experiments on both device and link level are presented.
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Digital Predistortion for 5G Small Cell: GPU Implementation and RF Measurements

TL;DR: A high data rate implementation of a digital predistortion (DPD) algorithm on a modern mobile multicore CPU containing an on-chip GPU that is capable of running in real-time, and combined with the low complexity DPD design allows for more than 400 Msamples/s sample rates.
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Closed-Loop Sign Algorithms for Low-Complexity Digital Predistortion: Methods and Performance

TL;DR: Results show that efficient mmW array linearization can be obtained through the proposed methods at very low complexity, and the processing and learning complexities of the considered techniques are analyzed, which allows to assess the complexity–performance tradeoffs of the proposed solutions.
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Air-Induced PIM Cancellation in FDD MIMO Transceivers

TL;DR: RF measurements conducted with real-life equipment indicate favorable PIM suppression levels of up to 20 dB using both introduced techniques, and an alternative canceller solution with a reduced number of BFs is proposed, inspired by the problem modeling.