Sequential-Compressive-Range Azimuth Estimation in Radar Signal Processing
Penulis/Author
RR Eny Sukani Rahayu, S.T., M.Eng. (1); Prof. Dr. Ir. Risanuri Hidayat, M.Sc., IPM. (2); Dr. Dyonisius Dony Ariananda, S.T., M.Sc. (3); Dr. Iswandi, S.T., M.Eng. (4)
Tanggal/Date
2021
Kata Kunci/Keyword
Abstrak/Abstract
Research in the field of radar signal processing
including the one on target detection algorithm continuously
attracts a lot of interest from signal processing community. One
interesting contribution is the applications of compressive
sensing (CS) algorithm in radar signal processing by exploiting
the existence of sparsity in some domains such as spatial,
azimuth, range, and time domain. This exploitation allows the
reduction of the number of receiver elements and the amount of
time samples. We investigate the application of CS in frequency
modulated continuous wave (FMCW) radar to detect multiple
targets and estimates the azimuth and range parameters
sequentially to estimate the target location. The azimuth angle
estimation is performed at the radio frequency (RF) stage by
exploiting spatial-domain CS to permit the reduction of the
number of receiver elements. Next, in the intermediate
frequency (IF) stage, the time-domain CS is conducted to reduce
the number of time samples in each chirp before the range
estimation is performed. The simulation study shows that, by
using this sequential compressive range-azimuth estimation, a
single chirp is sufficient to accurately estimate the azimuth
angles without error and to estimate the range of the targets,
where the average tolerated errors is 1.6 km, which is slightly
larger than the range resolution of 1.2 km
