Multiple-input multiple-output (MIMO) radar waveforms design with specified properties has a number of superiority over its phased-array counterpart, such as clutter suppression and interference mitigation. In this paper, we consider the problem of waveform optimization with prior information on targets of interest to improve the parameter estimation performance of MIMO radar in the presence of signal-dependent noise, which is based on the constrained Cramer-Rao bound (CRB). The waveform covariance matrix (WCM) is designed to minimize the trace of the constrained CRB such that the parameter estimation performance can be improved. In order to solve the resultant nonlinear optimization problem, a novel diagonal loading (DL) based method is proposed to relax this optimization issue as a semidefinite programming (SDP) one, which can be solved very efficiently. Following that, an optimal solution to the initial issue can be obtained via the least squares (LS) fitting of the solution acquired by the relaxed one. The effectiveness of the proposed method is verified by numerical examples, as compared to the uncorrelated waveforms.
목차
Abstract 1. Introduction 2. Problem Formulation 3. Proposed DL-Based Method 4. Numerical Examples 5. Conclusions Appendix A Acknowledgments References
보안공학연구지원센터(IJSIP) [Science & Engineering Research Support Center, Republic of Korea(IJSIP)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Signal Processing, Image Processing and Pattern Recognition
간기
격월간
pISSN
2005-4254
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.9 No.8