Array Radar Design and Development

Shome, Subhankar; Bera, Rabindranath; Maji, Bansibadan; Bhoi, Akash Kumar; Mallick, Pradeep Kumar

doi:10.1007/978-981-15-1451-7_56

Cited by 3 publications

(1 citation statement)

References 8 publications

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“…Radar works efficiently in dark, rainy, or even foggy weather and is nearly impervious to adverse weather conditions [32]. Figure 3 shows a clear picture of pedestrian recognition while using radio beams [33].…”

Section: B Radio Detection and Ranging /Radarmentioning

confidence: 99%

Insights and Strategies for an Autonomous Vehicle With a Sensor Fusion Innovation: A Fictional Outlook

et al. 2020

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A few decades ago, the idea of a car driving without human assistance was something inconceivable. With the advent of deep learning-based machine learning in artificial intelligence, this imaginary idea has become part of our life. Like in other fields, these technological revolutions have brought drastic changes to the field of automated driving systems. The autonomous vehicle is in the transition state between level 3 and level 4 of automation, but many mysteries are still waiting to be solved. Understanding the environment as precisely as a human driver is still far in the future. To attain human perception requires the capturing of extensive surrounding information that depends on the onboard sensors installed on the vehicle. Because the recent autonomous vehicle is equipped with several sensors, it captures surrounding information in diverse forms. Combining these multi-domain data with sensor fusion is the open area of research that is considered in this paper. Along with sensor fusion, another area of prime importance that is necessary to be explored is the prediction of pedestrian intentions. Though the study of the prediction of a pedestrian"s intentions started approximately fifteen years ago, most of the research is based on detection rather than intention. Furthermore, this paper also discusses related research in the field of prediction of the pedestrian"s intentions. At the end of the article, this review paper includes open questions, challenges, and proposed solutions.

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Section: B Radio Detection and Ranging /Radarmentioning

confidence: 99%

Insights and Strategies for an Autonomous Vehicle With a Sensor Fusion Innovation: A Fictional Outlook

et al. 2020

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Develop A Commissioning Process And Template In Building Project For Large-Scaled Construction Company

et.al¹

2021

TURCOMAT

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This study aims to establish building commissioning process for large-scaled construction company, and develop the commissioning template in accordance with each phase. The purpose of this paper is to develop a practical, systematic, professional template for commissioning for a large construction company. In addition, commissioning of buildings is the main subject of performance verification of Heating, Ventilating and Air Conditioning and Refrigeration (HVAC & R) systems that require equipment and control, so we focus on verification of HVAC & R. Large-scaled construction companies in Korea are transforming from general contractors to Engineering, Procurement, and Construction (EPC)s, and it is expected that the role of building commissioning for the objective quality assurance of buildings will be important in the future. In addition, it is necessary to prepare for this, since it is impossible to properly respond in a timely manner to the contractor who must obtain final approval from a professional commissioning company before delivering the building to owner. In order to solve these problems, it is necessary to properly understand the submission documents and work system required by a professional commissioning company and to establish a work performance system to enable commissioning from the General contractor’s perspective. As the owner's demand for building commissioning increases day by day, a response to this is necessary, also, the commissioning can respond to the global warming crisis. The research team builds the commissioning template from plan to O&M phase, then, the template contained key documents and general document packages.

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WCA-Based Low-PSLL and Wide-Nulling Beampattern Synthesis for Radar Applications

Wang

et al. 2022

Remote Sensing

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There are many unavoidable array errors in practical scenarios, which would drastically increase the sidelobe level (SLL) and distort the performance of radar systems accordingly. In this paper, an effective beampattern synthesis approach is proposed to realize a low peak sidelobe level (PSLL) and wide-nulling in the presence of array errors, thus improving the consequent performance of the radar. In particular, the covariance matrix of the sidelobe region (CMSR) is incorporated into the optimization. Considering the randomness of array errors, the statistical mean method is adopted to obtain a more accurate calculation of the CMSR in the presence of array errors based on a Monte Carlo trial. To efficiently and effectively solve the optimization problem, an advanced metaheuristic algorithm, i.e., the water cycle algorithm (WCA), is adopted when seeking the corresponding optimal weight vectors. Numerical results are provided and discussed to demonstrate the effectiveness of the proposed approach including the results based on a wideband linearly spaced magneto-electric (ME) dipole array.

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Array Radar Design and Development

Cited by 3 publications

References 8 publications

Insights and Strategies for an Autonomous Vehicle With a Sensor Fusion Innovation: A Fictional Outlook

Insights and Strategies for an Autonomous Vehicle With a Sensor Fusion Innovation: A Fictional Outlook

Develop A Commissioning Process And Template In Building Project For Large-Scaled Construction Company

WCA-Based Low-PSLL and Wide-Nulling Beampattern Synthesis for Radar Applications

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