【摘要】 目的 为了提高在复杂环境中，卫星信号定位抗干扰能力，设计了一种GPS/BDS双系统时空对准组合定位算法。方法 加入了渐消因子以达到对传统卡尔曼滤波器进一步优化的效果，由此获得更高的载体运动精度。通过北斗与GPS双模多频接收机对现场开展定位测试。选择三系统七频测试天线发送卫星信号并完成数据采集过程。结果 研究结果表明：单独采用GPS与BDS两种系统得到的可见卫星GDOP参数基本一致，都接近2.8。采用GPS与BDS组合的双系统可见卫星GDOP均值为1.8,相对单系统获得了更优GDOP。组合定位测试有效缓解了局部最优解，当根据需求降低迭代次数后，还可以缩短选星耗时。结论 采用改进选星算法可以获得更佳星座组合方式，便于开展导航定位解算过程，与单系统以及传统卡尔曼滤波算法相比获得了更高的定位精度。更多还原

【Abstract】 In order to improve the anti-jamming ability of satellite signal positioning in complex environment, a GPS/BDS dual system space-time alignment combined positioning algorithm is designed.A fading factor is added to further optimize the traditional Kalman filter and obtain a higher motion accuracy of the carrier.The beidou and GPS dual-mode multi-frequency receiver were used to carry out the field positioning test.The seven-frequency test antenna of three systems is selected to send satellite signals and complete the data acquisition process.The results show that the GDOP parameters of visible satellites obtained by GPS and BDS systems are basically the same, both close to 2.8.The average GDOP of the dual-system visible satellite using GPS and BDS combination is 1.8, which is better than the single system GDOP.Combined positioning test can effectively alleviate the local optimal solution, and shorten the time of star selection when the number of iterations is reduced according to the needs.The improved star selection algorithm can obtain a better constellation combination, facilitate the navigation and positioning process, and obtain higher positioning accuracy compared with single system and traditional Kalman filter algorithm.更多还原