ETRI-Knowledge Sharing Plaform



논문 검색
구분 SCI
연도 ~ 키워드


학술지 Stepped-Carrier OFDM with a Nonlinear Hopping Pattern for Joint Radar and Communications
Cited 1 time in scopus Download 6 time Share share facebook twitter linkedin kakaostory
양윤지, 강종성, 박재현, Ismail Guvenc, 김형주, 정병장
IEEE Sensors Journal, v.22 no.24, pp.24619-24633
22ZH1100, 연결의 한계를 극복하는 초연결 입체통신 기술 연구, 박승근
In this article, a stepped-carrier orthogonal frequency-division multiplexing (OFDM) system with a nonlinear hopping pattern is developed for joint radar and communication (RadCom). In the proposed OFDM-based RadCom system, the carrier frequencies of OFDM symbols for multiple RadCom nodes are orthogonally switched to avoid interference while also maximizing the signal-to-radar interference ratio (SRIR). Differently from conventional linear stepped-carrier OFDM radar that does not consider the communication performance, we first develop a subband allocation method that considers both the radar and the communication performance for multiple RadCom nodes. Channel state information (CSI) of multiple nodes is shared with a centralized server, which then computes the subband allocation strategy that gives the maximum SRIR. Furthermore, a distributed subband allocation strategy based on stateless Q-learning is also proposed, which is suitable when the RadCom nodes do not share their CSI. We also develop the radar signal processing algorithm for range and velocity estimation when the stepped-carrier OFDM waveforms are transmitted through multiple subbands with a nonlinear hopping pattern. Through computer simulations, we confirm that the proposed stepped-carrier OFDM with the nonlinear hopping pattern exhibits a higher achievable sum rate than conventional linear stepped OFDM while not sacrificing the radar performance of target parameter estimation.
KSP 제안 키워드
Allocation method, Channel State Information(CSI), Communication performance, Computer simulation(MC and MD), Interference ratio, Joint radar and communication, OFDM radar, Radar interference, Radar signal Processing, Velocity estimation, achievable sum rate