@misc{KahlertFeiWangetal., author = {Kahlert, Moritz and Fei, Tai and Wang, Yuming and Tebruegge, Claas and Gardill, Markus}, title = {Unified model and survey on modulation schemes for next-generation automotive radar systems}, series = {Remote sensing}, volume = {17}, journal = {Remote sensing}, number = {8}, editor = {Koukiou, Georgia}, publisher = {MDPI}, address = {Basel}, issn = {2072-4292}, doi = {10.3390/rs17081355}, pages = {1 -- 43}, abstract = {Commercial automotive radar systems for advanced driver assistance systems (ADASs) have relied on frequency-modulated continuous wave (FMCW) waveforms for years due to their low-cost hardware, simple signal processing, and established academic and industrial expertise. However, FMCW systems face several challenges, including limited unambiguous velocity, restricted multiplexing of transmit signals, and susceptibility to interference. This work introduces a unified automotive radar signal model and reviews the alternative modulation schemes such as phase-coded frequency-modulated continuous wave (PC-FMCW), phase-modulated continuous wave (PMCW), orthogonal frequency-division multiplexing (OFDM), orthogonal chirp division multiplexing (OCDM), and orthogonal time frequency space (OTFS). These schemes are assessed against key technological and economic criteria and compared with FMCW, highlighting their respective strengths and limitations.}, language = {en} } @misc{JiangKnaackMartinetal., author = {Jiang, Yuyao and Knaack, Marcus and Martin, Clas Aljoscha and Tost, Frank and Alimov, Artem and H{\"a}rtel, Sebastian and Gardill, Markus}, title = {A 120 GHz industrial radar sensor network for condition monitoring of a forging process}, series = {IEEE sensors journal}, journal = {IEEE sensors journal}, publisher = {IEEE}, address = {Piscataway, NJ}, issn = {1558-1748}, doi = {10.1109/JSEN.2025.3636060}, pages = {1 -- 10}, abstract = {Current trends in forging technology emphasize increased automation and a rising demand for high-precision components. Among the key factors influencing the forging quality are process parameters, which also serve as indispensable inputs for data-driven modeling. This necessitates the establishment of a stable and robust sensor network to enable high-quality process monitoring. This study investigates the implementation of a heterogeneous sensor network within an energy-bound forging press, integrating industrial 120 GHz radar sensors for comprehensive data collection. A complete radar signal processing chain is developed, encompassing signal acquisition, pre-processing, and state estimation of the press ram. The validation against conventional reference sensors confirms the reliability and accuracy of the radar-based measurements. The results demonstrate the feasibility of the radar employment in the complex forging environment.}, language = {en} }