INS/双星组合导航半实物仿真研究

对INS/双星跑车试验数据进行了分析和处理,采用小波分解的方法去除了定点定位试验中的测量噪声,并对双星接收机的常值偏移进行了估计,仿真结果表明双星系统的定位精度在20米之内。在跑车试验中使用递推最小二乘法和Kalman滤波技术对INS/双星的位置组合方案进行了仿真。仿真结果表明,Kalman滤波技术比最小二乘算法具有更高的估计精度,它能有效地降低INS的位置误差。

Research on INS/DS Integrated Navigation Semi-Physical Simulation

The real-time experiment data of inertial navigation system (INS) and double star (DS) are analyzed and disposed of. In order to reduce measurement noise in fix point test, a wavelets analysis method is presented. The resident error of DS receiver is estimated. It has been shown that the precision of DS can achieve 20m. Thereafter the integrated INS/DS Kalman filter and recursive least squares estimation algorithm have been simulated respectively. It has been shown that the Kalman filter algorithm has higher precision than the least squares estimation algorithm in that the former can reduce the position error of INS effectively.