关键词: 高度估计, Cramé, r-Rao限, 最大似然估计(ML), Fisher信息阵(FIM), 雷达组网

Abstract:

In a radar network composed of two 2-dimensional radars, the CRLB of height estimation is obtained. Some conclusions are drawn based on the numerical results for various conditions. It is concluded that the CRLB of height estimation is dependent on the bearing measurement errors of the radars. It is also found that the height estimation performance is greatly dependent on the angle in the triangle composed of the target and the two 2-dimensional radars, and that distributed placement of the radars at different heights can improve the convergence performance of target height estimation. The conclusions in this paper are useful in 2-dimensional radar-netting and in sensor management.

Key words: height estimation, Cramé, r-Rao low bound(CRLB), maximum likelihood estimation(ML), Fisher information matrix(FIM), radar netting