[en] The emerging 4D-imaging automotive MIMO radar sensors necessitate the selection of appropriate transmit wave-forms, which should be separable on the receive side in addition to having low auto-correlation sidelobes. TDM, FDM, DDM, and inter-chirp CDM approaches have traditionally been proposed for FMCW radar sensors to ensure the orthogonality of the transmit signals. However, as the number of transmit antennas increases, each of the aforementioned approaches suffers from some drawbacks, which are described in this paper. PMCW radars, on the other hand, can be considered to be more costly to implement, have been proposed to provide better performance and allow for the use of waveform optimization techniques. In this context, we use a block gradient descent approach to design a waveform set for MIMO-PMCW that is optimized based on weighted integrated sidelobe level in this paper, and we show that the proposed waveform outperforms conventional MIMO-FMCW approaches by performing comparative simulations.
Disciplines :
Computer science
Author, co-author :
Sichani, Nazila Karimian; Shahid Beheshti University, Faculty of Electrical Engineering, Department of Telecommunications, Tehran, Iran
AHMADI, Moein ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC
RAEI, Ehsan ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust > SPARC > Team Bhavani Shankar MYSORE RAMA RAO
ALAEE, Mohammad ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC
Bhavani Shankar, M.R.; University of Luxembourg, Interdisciplinary Centre for Security, Reliability and Trust (SnT), Luxembourg, Luxembourg
Mehrshahi, Esfandiar; Shahid Beheshti University, Faculty of Electrical Engineering, Department of Telecommunications, Tehran, Iran
Ghorashi, Seyyed Ali; Shahid Beheshti University, Faculty of Electrical Engineering, Department of Telecommunications, Tehran, Iran ; School of Architecture, Computing and Engineering, University of East London, Department of Computer Science and Digital Technologies, London, United Kingdom
External co-authors :
yes
Language :
English
Title :
Waveform Selection for FMCW and PMCW 4D-Imaging Automotive Radar Sensors
AESS Continental Electronics et al. IEEE Lincoln Laboratory, Massachussets Institute of Technology Lockheed Martin
Funding text :
This paper was developed while Nazila Karimian Sichani was visiting SPARC at SnT, University of Luxembourg. This work was supported by FNR BRIDGES MASTERS under grant BRIDGES2020/IS/15407066/MASTERS and FNR CORE SPRINGER project under Grant C18/IS/12734677.∗This paper was developed while Nazila Karimian Sichani was visiting SPARC at SnT, University of Luxembourg. This work was supported by FNR BRIDGES MASTERS under grant BRIDGES2020/IS/15407066/MASTERS and FNR CORE SPRINGER project under Grant C18/IS/12734677.
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