GPS与DTMB组合定位系统的改进选星算法研究

Improved Satellite Selection Algorithm for GPS and DTMB Integrated Positioning System

针对GPS卫星信号在楼群密集的城市和室内存在定位盲区而无法单独完成定位的难题,提出GPS-DTMB组合导航定位方法。在多源信号组合导航定位系统中,为了解决导航定位精度与运算复杂度间的矛盾,研究改进的加权行列式选星算法在GPS与DTMB组合定位系统中的可行性,与传统最小GDOP选星算法相比较,改进的选星算法具有运算复杂度低、计算消耗时间短的优点,并且对比分析在不同的组合卫星数目中,该算法与直接利用传统最小GDOP选星算法相比较的偏差大小,仿真表明,在15种组合卫星中,偏差小于0.1的概率在90%左右,能够得到满意的性能,证明了此方法的实用性。

Due to overcome the defect of location failure caused by lack of GPS satellites in dense urban areas and indoor environments, the integrated navigation positioning method combining GPS and DTMB is presented in this paper. In order to resolve the conflict between positioning accuracy and the computational burden, an improved weighted satellite selection algorithm is proposed, which is based on determinant in combining GPS and DTMB inte- grated navigation. Simulation results indicate that compared to traditional minimum GDOP method, the improved satellite selection algorithm has the ad- vantages of lower computation load, lower computation time. Mso, compare and analyze the deviation between the improved algorithm and traditional minimum GDOP method, in the combination of different satellite number, and simulation results indicate that the deviation is less than 0.1 percentage is about 90% when in fifteen kinds of combination of satellite, this can be brought to a satisfactory performance, and this is practical.