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2. Multi-objective Design of Uniform Sparse MIMO Arrays

Author

Tanyer, Suleyman Gokhun, Dent, Paul, Ali, Murtaza, Davis, Curtis, Rajagopal, SenthinelKumar, and Driessen, Peter

Subjects
Electrical Engineering and Systems Science - Signal Processing
Abstract

The problem of multi-objective design of sparse MIMO arrays for better multitarget detection capabilities is considered. A novel approach for efficient utilization of the antenna design resources; namely, the number of available array elements, and array aperture are studied for the angular beamforming performance metrics such as, beam width, the peak to sidelobe ratio (PSLR), and grating lobe limited field of view. The limiting constraints, the physical size of elements, and mutual coupling are also considered. Thinning of fully populated uniform MIMO antenna arrays to form effective uniform sparse arrays (USA), as the term proposed here, are examined as for their capability of improving usable field of view (uFOV), beamwidth (BW), and peak-to-side lobe-ratio (PSLR) using fewer physical antenna elements, simultaneously. Sparse arrays require much less array elements to outperform uniform linear (ULA) and rectangular arrays (URA) for their beamwidths. Further, a rigorious design procedure considering the physical size limitations is currently unavailable. Here, we present a practical design architecture of such a uniform sparse array under multiple contradicting objectives. Angular resolution performances of the novel uniform sparse arrays are compared with the standard ULA and URAs. It is shown that design of an array with small inter-element spacings avoiding any grating lobes is possible even when the physical size of the elements are very large. Expanding the available elements to a much larger apertures provides much better angular resolution. However, it is also shown that these advantages come with the cost of increased side lobes. Both the simulated and the measured results demonstrate the superiority of the proposed uniform sparse array design compared to classical fully populated uniform arrays., Comment: 26 pages, 13 figures, 7 tables

Published
2022

21. A Time-Domain Doppler Estimation and Waveform Recovery Approach with Iterative and Ensemble Techniques for Bi-Phase Code in Radar Systems.

Author

Youssef, Ahmed, Moa, Belaid, and Driessen, Peter F.

Subjects
DOPPLER effect, RADAR, SOFTWARE radio, SIGNAL-to-noise ratio, MIMO radar, ESTIMATION theory
Abstract

This paper presents a novel, cost-effective technique for estimating the Doppler effect in the time domain using a single pulse and subsequently leveraging the precise Doppler value to recover the radar waveform. The proposed system offers several key advantages over existing techniques, including the ability to calculate the target speed without any frequency ambiguity and the ability to detect a wide range of target speeds. These two features are not available in any existing techniques, including the conventional moving target detection (MTD) processor. To ensure improved accuracy and robust estimation, the system employs ensemble and iterative techniques by recursively and efficiently reducing the Doppler residues from the signal. Furthermore, the proposed system demonstrates effective signal recovery of a well-known bi-phase code shape at low signal-to-noise ratios in just a few iterations. The performance evaluation of the new algorithm demonstrates its practicability and its superiority over traditional radar systems. Implementation on software-defined radio (SDR) reveals that the proposed system excels in Doppler estimation and signal recovery at low SNRs, demonstrating promising results. [ABSTRACT FROM AUTHOR]

Published
2024
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46. Policy Integration

Author

Runhaar, Hens, primary, Wilk, Bettina, additional, Driessen, Peter, additional, Dunphy, Niall, additional, Persson, Åsa, additional, Meadowcroft, James, additional, and Mullally, Gerard, additional

Published
2020
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49. The Challenges of Water Management and Governance in Cities

Author

Driessen, Peter, Hofman, Jan, van Leeuwen, Cornelis Johannes (Kees), and Frijns, Jos

Abstract

Global population growth is urban growth and, therefore, most of the water-related challenges and solutions reside in cities. Unless water management and water governance processes are significantly improved within the next decade or so, cities are likely to face serious and prolonged water insecurity, urban floods, and/or heat stress, which may result in social instability and, ultimately, massive migration. Aging water infrastructure, one of the most expensive infrastructures in cities, is a relevant challenge in order to address Sustainable Development Goal (SDG) 6: clean water and sanitation, SDG 11: sustainable cities and communities, and SDG 13: climate action. The choice of good governance arrangements has important consequences for economic performance, for the well-being of citizens, and for the quality of life in urban areas. The better governance arrangements work in coordinating policies across jurisdictions and policy fields, the better the outcomes. Rapidly-changing global conditions will make future water governance more complex than ever before in human history, and expectations are that water governance and water management will change more during the next 20 years compared to the past 100 years. In this Special Issue of Water, the focus will be on practical concepts and tools for water management and water governance, with a focus on cities.

Published
2019

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