Searched for: author%3A%22Anitori%2C+L.%22
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van Rossum, W.L. (author), de Martin, L. (author), Anitori, L. (author)
public lecture 2022
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Anitori, L. (author)
public lecture 2022
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Anitori, L. (author)
public lecture 2022
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Coutino, M. (author), Uysal, F. (author), Anitori, L. (author)
This paper introduces a general framework for waveform-aware optimal window design for mismatch processing. First, the linear relationship between the window function and the output of the mismatch filter, for both frequency and time windowing and a particular waveform, is modeled. Making use of such a relation, typical window constraints are...
conference paper 2022
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Leus, G. (author), Countino Minguez, M.A. (author), Anitori, L. (author)
public lecture 2022
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Countino Minguez, M.A. (author), Anitori, L. (author)
public lecture 2022
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Alistarh, C. (author), Anitori, L. (author), van Rossum, W.L. (author), Podilchak, S.K. (author), Thompson, J. (author), Sellathurai, M. (author)
conference paper 2022
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Wezeman, R.S. (author), Chiscop, I. (author), Anitori, L. (author), van Rossum, W.L. (author)
Compressive sensing is a signal processing technique used to acquire and reconstruct sparse signals using significantly fewer measurement samples. Compressive sensing requires finding the most sparse solution to an underdetermined linear system, which is an NP-hard problem and as a consequence in practise is only solved approximately. In our...
conference paper 2022
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Anitori, L. (author), Ender, J. (author)
In the past decades, there has been an extensive research interest in the areas of both waveform diversity/design and advanced signal processing algorithms departing from the more classical solutions based on Linear Frequency Modulated (LFM) pulses and Matched Filters (MF). In the waveform diversity community, especially within the context of...
conference paper 2021
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Alistarh, C. (author), Anitori, L. (author), Podilchak, S.K. (author), Thompson, J. (author), Hilario, P.D. (author), Sellathurai, M. (author), Goussetis, G. (author), Lee, J. (author)
Automotive engineers are repeatedly faced with the issue of choosing radars with the best angular resolution while having reduced processing times. In this paper, a novel extrapolation method is presented to estimate the amplitudes and phases for virtual antenna elements at the receiver periphery. This method has shown to resolve two targets...
conference paper 2021
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Anitori, L. (author), Kotti, S. (author)
[No abstract available]
article 2021
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de Martin, L. (author), van Rossum, W. (author), Ribeiro, D. (author), Anitori, L. (author)
It is well known that noise-like waveforms have the inherent property of suppressing ambiguities due to their nonrepetitive nature, as opposed to the more classical linear frequency modulated (LFM) pulsed waveforms. This aperiodicity also improves the robustness against jammers, making these waveforms harder to detect and classify by an enemy....
article 2020
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van Rossum, W.L. (author), Anitori, L. (author)
In this article a novel waveform based on agile (or irregular) pulse intervals is presented as a potential approach to simultaneously resolve both range and Doppler ambiguities using a single burst in radar measurements containing very far away and/or very fast targets. The paper shows that, the combination of irregularly spaced transmitted...
conference paper 2020
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Anitori, L. (author), Maleki, A. (author)
[No abstract available]
bookPart 2019
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van Rossum, W. (author), Anitori, L. (author)
In this article a novel waveform, Random SlowTime Code Division Multiple Access (ST-CDMA) for MIMO radar is presented and investigated. ST-CDMA means that the waveforms of the different transmitters are orthogonal per burst, while conventional CDMA implies orthogonal waveforms of the different transmitters per pulse. In particular, the Doppler...
conference paper 2018
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van Rossum, W.L. (author), Anitori, L. (author), van Dorp, P. (author), de Wit, J.J.M. (author), Harmanny, R.I.A. (author)
conference paper 2017
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Bekers, J. (author), Van Rossum, W.L. (author), Jacobs, S. (author), Heiligers, M.J.C. (author), Anitori, L. (author), Stolp, E. (author), Cifola, L. (author), Podt, M. (author)
conference paper 2016
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Anitori, L. (author), van Rossum, W.L. (author), Huizing, A.G. (author)
In this paper we present some preliminary results on antenna array extrapolation for Direction Of Arrival (DOA) estimation using Sparse Reconstruction (SR). The objective of this study is to establish wether it is possible to achieve with an array of a given physical length the performance (in terms of accuracy, resolution and sidelobe level) of...
conference paper 2015
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Anitori, L. (author), Maleki, A. (author), Otten, M.P.G. (author), Baraniuk, R.G. (author), Hoogeboom, P. (author)
We consider the problem of target detection from a set of Compressed Sensing (CS) radar measurements corrupted by additive white Gaussian noise. We propose two novel architectures and compare their performance by means of Receiver Operating Characteristic (ROC) curves. Using asymptotic arguments and the Complex Approximate Message Passing (CAMP)...
article 2013
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Maleki, A. (author), Anitori, L. (author), Yang, Z. (author), Baraniuk, R.G. (author)
Recovering a sparse signal from an undersampled set of random linear measurements is the main problem of interest in compressed sensing. In this paper, we consider the case where both the signal and the measurements are complex-valued. We study the popular recovery method of l1- regularized least squares or LASSO.While several studies have shown...
article 2013
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