Search results for "FMC"
showing 3 items of 13 documents
Izmaiņas neironu mielinizācijas un apoptozes procesos eksperimentāla išēmiska insulta subakūtajā stadijā
2021
Viens no galvenajiem nāves cēloņiem pasaulē ir išēmisks insults. Tā akūtā stadijā novēro apoptozi, programmēto neironu nāvi, kā arī to mielinizācijas traucējumus. Taču trūkst dati par to, vai šie patoloģiskie procesi notiek arī išēmiska insulta subakūtajās stadijās. Šī darba mērķis bija noskaidrot filamenta izraisītas vidējās smadzeņu artērijas oklūzijas (fMCAo) efektus uz apoptozē un neironu mielinizācijā iesaistīto proteīnu (kaspāzes-3 un mielīna bāzes proteīna) ekspresiju kontroles un išēmiska insulta modeļdzīvnieku smadzenēs subakūtā stadijā pēc fMCAo. Rezultāti parāda, ka 2 mēnešus pēc fMCAo išēmiska insulta modeļdzīvnieku išēmijas serdes un penumbra zonā būtiski samazinājusies neironu…
Localization of Multi-Class On-Road and Aerial Targets Using mmWave FMCW Radar
2021
mmWave radars play a vital role in autonomous systems, such as unmanned aerial vehicles (UAVs), unmanned surface vehicles (USVs), ground station control and monitoring systems. The challenging task when using mmWave radars is to estimate the accurate angle of arrival (AoA) of the targets, due to the limited number of receivers. In this paper, we present a novel AoA estimation technique, using mmWave FMCW radars operating in the frequency range 77–81 GHz by utilizing the mechanical rotation. Rotating the radar also increases the field of view in both azimuth and elevation. The proposed method estimates the AoA of the targets, using only a single transmitter and receiver. The measurements are…
Classification of Targets Using Statistical Features from Range FFT of mmWave FMCW Radars
2021
Radars with mmWave frequency modulated continuous wave (FMCW) technology accurately estimate the range and velocity of targets in their field of view (FoV). The targeted angle of arrival (AoA) estimation can be improved by increasing receiving antennas or by using multiple-input multiple-output (MIMO). However, obtaining target features such as target type remains challenging. In this paper, we present a novel target classification method based on machine learning and features extracted from a range fast Fourier transform (FFT) profile by using mmWave FMCW radars operating in the frequency range of 77–81 GHz. The measurements are carried out in a variety of realistic situations, including p…