【作者】 董智红； 王堃； 魏子翔； 孙昕；

【Author】 Dong Zhihong~(1,2) Wang Kun~2 Wei Zixiang~2 Sun Xin~1 (1 School of Electronics and Information Engineering,Beijing Jiaotong University,Beijing 100044 2 School of Information and Electronics,Beijing Institute of Technology,Beijing 100081)

【机构】 北京交通大学电信工程学院； 北京理工大学信息与电子学院；

【摘要】 针对伽利略搜救系统需同时估计FOA和TOA的情况,提出了采用联合极大似然估计和体积重心计算相结合的方法以得到FOA和TOA的精确估计值。仿真和实现中同时考虑了250μs相位跳变斜沿和信标时频冲突对参数估计的影响,在34.8dBHz载噪比下得到的FOA和TOA均方根误差分别小于0.03Hz和14μs,优于系统指标要求的0.1Hz和15μs,为地面终端的高精度定位提供了保障。更多还原

【Abstract】 A new joint fine estimation algorithm of FOA and TOA is proposed because the estimation values of FOA and TOA are both needed in Galileo SAR(Search and Rescue) system.The algorithm which combines joint maximum likelihood estimation method and gravity center of volume calculation is designed to get accurate estimation results of FOA and TOA.The effects of 250μs phase jumping edge and the collision of beacon signals in time and frequency are both considered in simulation and implementation.The results show that the RMSE of FOA and TOA are respectively less than 0.03Hz and 14μs when the CNR is 34.8dBHz.The estimation results of FOA and TOA are better than the required system index 0.1 Hz and 15μs.It provides a guarantee of high-precision positioning for ground terminals.更多还原