Research on CRB for Moving Target Parameter Estimation in MIMO Radar Based on STFAP
Zou Bo①② Dong Zhen① Liang Dian-nong①
①(School of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China) ②(Institute of Army Aviation, Beijing 101121, China)
Abstract：MIMO (Multiple-Input Multiple-Output) radar has evident advantages in target detection, parameter estimation, and so on. The Cramer-Rao Bound (CRB) for parameter estimation is proved to be a useful tool for characterizing system design and STAP performance. Therefore, based on MIMO radar with collocated antennas utilizing orthogonal frequency division signal, the space time frequency signal model of target and clutter is given to be used in MIMO radar first. On the basis of the model, the CRB of the ML estimator of ground moving target angle and Doppler for MIMO radar are deduced based on STFAP. Finally, through simulation of CRB performance, it is demonstrated that MIMO radar is effective in eliminating velocity blind zones and improving target parameter estimation accuracy.
邹博, 董臻, 梁甸农. 基于STFAP的MIMO雷达运动目标参数估计的CRB研究[J]. 电子与信息学报, 2011, 33(8): 1988-1992.
Zou Bo, Dong Zhen, Liang Dian-Nong. Research on CRB for Moving Target Parameter Estimation in MIMO Radar Based on STFAP. , 2011, 33(8): 1988-1992.
2011, Vol. 33 
