| Title |
Sorting&Classification Algorithm of MT-LSCMA for Stable Acquisition of Burst Signals |
| Authors |
서영광(Young-Kwang Seo) ; 김지현(Ji-Hyeon Kim) ; 박진오(Jin-Oh Park) ; 강현진(Hyun Jin Kang) ; 김재윤(Jae Yun Kim) ; 문병호(Byung Ho Mun) ; 김형남(Hyoung-Nam Kim) |
| DOI |
https://doi.org/10.5573/ieie.2020.57.4.73 |
| Keywords |
blind adaptive beamformer; CMA; MT-LSCMA; burst signal extraction |
| Abstract |
The multi-target least-squares constant modulus algorithm (MT-LSCMA), which is a blind adaptive beamforming algorithm, can detect burst signals with a constant amplitude in the presence of a high-power interference signal and acquires them separately from the interference signal. In a situation where the burst signal is received at an angle close to the incident angle of existing signals or the amplitude of the burst signal is not uniform, there is a problem in that burst signals can not be stably acquired due to the unnecessary sorting process performed in the beamformers of MT-LSCMA. In this paper, we propose a robust sorting and classification algorithm of MT-LSCMA using detection results of the dominant mode prediction (DMP) and sorting condition. Simulation results show that MT-LSCMA with the proposed sorting and classification algorithm stably obtains burst signals in the above-mentioned situations. |