Introduction
In the last years, radar systems have been used in different fields, including civilian aviation, navigation, Earth observation, meteorology, medicine, precision agriculture and advanced driver assistant systems (ADAS). In particular, as far as the last two fields are concerned, such systems can substantially benefit from the availability of the antenna arrays, i.e. of the so called multiple-input multiple-output (MIMO) technology. MIMO radars operating at mmWave play an important role in several applications, because of their limited cost, their small size and their ability to detect the presence of multiple targets.
Substantial research efforts have been devoted to the investigation of signal processing methods that, based on the measurements acquired from the whole array in a single snapshot, can estimate the overall number of targets and their spatial coordinates. Unluckily, optimal techniques cannot be employed in this case, since they require solving complicated multidimensional optimization problems and, consequently, entail a huge computational effort, even in the presence of a small number of targets.
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Publications
- P. Di Viesti, A. Davoli, G. Guerzoni and G. M. Vitetta, “Novel Deterministic Detection and Estimation Algorithms for Colocated Multiple-Input Multiple-Output Radars,” in IEEE Access, vol. 10, pp. 2216-2255, 2022, doi: 10.1109/ACCESS.2021.3139200.
- A. Davoli, E. Sirignano and G. M. Vitetta, “Three-Dimensional Deterministic Detection and Estimation Algorithms for MIMO SFCW Radars,” 2020 IEEE Radar Conference (RadarConf20), 2020, pp. 1-6, doi: 10.1109/RadarConf2043947.2020.9266432.
- E. Sirignano, A. Davoli, G. M. Vitetta and F. Viappiani, “A Comparative Analysis of Deterministic Detection and Estimation Techniques for MIMO SFCW Radars,” in IEEE Access, vol. 7, pp. 129848-129861, 2019, doi: 10.1109/ACCESS.2019.2939432.