| 摘要: |
| 件下具有测量误差和星历误差时定位精度不高的特点，提出了一种基于多次观测数据的最小
二乘融合估计定位算法，该算法无需增加观测条件即可有效提高辐射源定位精度。分析了测
量误差、星历误差对单参考站单次定位及融合定位精度的影响，推导了测量误差、星历误差
对定位误差的传递公式，提出了含星历误差影响的最小二乘融合估计加权算法。通过Monte-
Carlo仿真验证了误差分析结果和定位算法，并比较了加权最小二乘估计定位和单次定位的
性能。仿真试验表明：在相同观测精度条件下，加权最小二乘融合定位可极大地提高辐射
源定位精度，最大提高10倍以上。 |
| 关键词: 双星 时差频差 定位 估计 数据融合 |
| DOI： |
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| 基金项目: |
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| Geo-location using dual-satellite′s TDOA and FDOA data by least square fusion estimation |
| PENG Hua-feng,XIA Chang-xiong,CAO Jin-kun |
| () |
| Abstract: |
| Aiming at the problem of geo-location with only one refer
ence station, which has feature of low position precision when there are measure
ment error and ephemeris error, a Least Square(LS) estimation method is proposed
her
e by fusing multi-time′s observation, by which the location accuracy can be g
re
atly improved without increasing the observation conditions. In condition of one
reference station, when measurement error and ephemeris error are added, the on
e observation geo-location method and multi-observation geo-location method are
studied. The influence of observation error and ephemeris error is analysed. Th
e equation of error transfer from observation error and ephemeris error to geo-l
ocation error is derived. A weighted algorithm for LS estimation geo
-location is proposed and compared with the one observation geo-location
algorithm. By Monte-Carlo simulation, the analysis conclusion and weighted
LS estimation geo-location algorithm are proved, and also the performance
of one-observation and multi-observation algorithm is compared. Simulation resu
lt shows that the weighted LS multi-observation geo-location estimator
can greatly improve the location precision. The best result shows that multi-ob
servation algorithm can be 10 times better than one-observation geo-location alg
orithm. |
| Key words: dual-satellite time and frequency difference of arrival location estimation data fusion |
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