论文部分内容阅读
传统惯性凝固性对准技术可有效隔离角运动干扰环境对捷联惯导自对准精度的影响,但对线运动环境下的抗干扰能力不足。据此,在深入分析线运动干扰对捷联惯导惯性凝固系下自对准精度影响途径之上,对线运动干扰环境划分为速度周期波动、突跳以及速度短期线性漂移。提出采用积分降噪、载体惯性系速度递推拟合与基于带遗忘因子递推最小二乘的速度慢漂提取技术相结合的抗干扰自对准优化算法,并进行了试验验证。试验结果表明,本算法可在5min内实现1.3mil的抗干扰自对准精度。
The traditional inertial solidification alignment technique can effectively isolate the impact of angular motion interference environment on SINS accuracy of self-alignment, but the anti-interference ability under line motion environment is insufficient. Therefore, on the basis of analyzing the influence of line motion interference on the self-alignment accuracy under inertial solidification system, the disturbance environment of line motion is divided into velocity cycle fluctuation, sudden jump and short-term linear drift of velocity. An anti-jamming self-aligning optimization algorithm based on integral noise reduction, carrier inertial velocity recursive fitting and speed-slow-bleaching extraction based on recursive least squares with forgetting factor is proposed and validated by experiments. Experimental results show that this algorithm can achieve 1.3mil self-alignment accuracy in 5min.