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Andre Bourdoux

Researcher at Katholieke Universiteit Leuven

Publications -  199
Citations -  3393

Andre Bourdoux is an academic researcher from Katholieke Universiteit Leuven. The author has contributed to research in topics: MIMO & Radar. The author has an hindex of 29, co-authored 164 publications receiving 2433 citations. Previous affiliations of Andre Bourdoux include IMEC.

Papers
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Proceedings ArticleDOI

Massive MIMO processing at the semiconductor edge: Exploiting the system and circuit margins for power savings

TL;DR: The potential of processing at the semiconductor edge by allowing voltage over-scaling and complete antenna signal failures is considered, focusing on the per-antenna digital functionality that dominant the DSP complexity.
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Dynamic spectrum access: from the concept to the implementation

TL;DR: The goal of this special issue has been to solicit high-quality unpublished research papers on the spectrum sensing and access, the intelligence and learning capability, and implementation aspects of communication systems relying on dynamic spectrum access.
Proceedings ArticleDOI

A Cramér-Rao Lower Bound for Analyzing the Localization Performance of a Multistatic Joint Radar-Communication System

TL;DR: In this article, the problem of localizing a point scatterer by using a distributed system of OFDM multi-antenna access points is considered, where the communications waveform is reused for localization purposes.
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On the General Mathematical Framework, Calibration/Compensation Method, and Applications of Non-Ideal Software Defined Harmonics Rejection Transceivers

TL;DR: An alternative digital intensive architecture is proposed that enables increased harmonic interference rejection for wide-band SDR transceivers impacted by severe gain and phase mismatches, and a generic mathematical framework of the target architecture is introduced.
Proceedings ArticleDOI

Clutter removal for Wi-Fi-based passive bistatic radar

TL;DR: The conclusion is that, thanks to the decoupled range and Doppler radar processing, simple novel methods such as Average Removal are efficient alternatives to the computationally intensive ECA which is currently the state of theart in CR.