Abstract:This paper studies the Average Cramer-Rao Bounds (ACRB) for estimating Direction Of Arrival (DOA) in compound-Gaussian clutter using Multi-Input Multi-Output (MIMO) radars. Firstly, the MIMO radar signal and compound-Gaussian clutter models are introduced. Secondly, the general ACRB expression is derived. Then, a closed-form ACRB is given for the inverse-Gamma distributed texture component. Thirdly, the Outage CRB is introduced as a supplement to the divergence of ACRB when there is only one transmit radar element. Finally, the DOA estimation performances of MIMO radars are simulated through computer simulations under different conditions. Theoretical analyses and computer simulations show that the spatial diversity of MIMO radar can improve the performance of DOA estimation effectively. The ACRB decreases as the number of the transmit radar elements increases. It is also found that the ACRB in compound-Gaussian clutter is inferior to that in Gaussian clutter. The research conducted in this paper reveals the fundamental performances of the MIMO radars.
王鞠庭; 江胜利; 刘 中. 复合高斯杂波中MIMO雷达DOA估计的克拉美-罗下限[J]. 电子与信息学报, 2009, 31(4): 786-789 .
Wang Ju-ting;Jiang Sheng-li; Liu Zhong. Cramer-Rao Bounds of DOA Estimation for MIMO Radars in Compound-Gaussian Clutter. , 2009, 31(4): 786-789 .