Rakesh Yadav Kodari

Rakesh Yadav Kodari is a Member of The Asia Society of Researchers (ASR MEM ID: R219093333); Member of The International Association of Engineers(IAENG MEM ID: 284765), Hong Kong; Associate Member of The Industrial Engineering and Operation Management (IEOM Mem ID: 1437573) Society, USA. An Advisory member of International Research Forum for Scientific Research (IRFSR MEM ID: IRS24808C), Professional Member of IFERP (PROF-87755215), Member of editorial board in Lattice Science Publication (LSP).

EDUCATION

He received the Master of Science (M.Sc) degree in Communication and Media Engineering in the Department of Electrical Engineering, Medical Technology and Computer Science, and Department of Media and Information from the Offenburg University of Applied Sciences (HSO), Offenburg, Germany, in 2019. In 2019, he joined Offenburg University of Applied Sciences, Germany, where he is with the Electronic Components and Systems for European Leadership Joint Undertaking (ECSEL JU) Project: PRYSTINE. His main research interests are radar signal processing, as well as radar system design and concepts for industrial and automotive applications. He has published multiple articles in various conferences and journals at the international level and is also a reviewer for different journals.

RESEARCH, TEACHING, or OTHER INTERESTS

Signal Processing, Automotive Engineering, Organizational Behavior and Human Resource Management, Media Technology

Scopus Publications

Investigation of the Angle Dependency of Self-Calibration in Multiple-Input-Multiple-Output Radars
Alua Musralina, Rakesh Yadav Kodari, Marlene Harter
Asia Pacific Microwave Conference Proceedings APMC, 2020
Multiple-Input-Multiple-Output (MIMO) is a key technology in improving the angular resolution (spatial resolution) of radars. In MIMO radars the amplitude and phase errors in antenna elements lead to increase in the sidelobe level and a misalignment of the mainlobe. As the result the performance of the antenna channels will be affected. Firstly, this paper presents analysis of effect of the amplitude and phase errors on angular spectrum using Monte-Carlo simulations. Then, the results are compared with performed measurements. Finally, the error correction with a self-calibration method is proposed and its angle dependency is evaluated. It is shown that the values of the errors change with an incident angle, which leads to a required angle-dependent calibration.
Analysis of amplitude and phase errors in digital-beamforming radars for automotive applications
Rakesh Yadav Kodari, Markus Rosch, Marlene Harter
Proceedings International Radar Symposium, 2020
Fundamentally, automotive radar sensors with Digital-Beamforming (DBF) use several transmitter and receiver antennas to measure the direction of the target. However, hardware imperfections, tolerances in the feeding lines of the antennas, coupling effects as well as temperature changes and ageing will cause amplitude and phase errors. These errors can lead to misinterpretation of the data and result in hazardous actions of the autonomous system. First, the impact of amplitude and phase errors on angular estimation is discussed and analyzed by simulations. The results are compared with the measured errors of a real radar sensor. Further, a calibration method is implemented and evaluated by measurements.