A new approach is proposed for designing a system of automated positioning of the engineer reconnaissance devices under dynamic reception conditions with a low GPS signal/noise ratio. An analysis is performed of the classical positioning methodology based on the GPS signal tracking, and a more efficient approach based on a Kalman filter modification is proposed. A comparative analysis of the tracking methods followed by numerical processing of the results in the MATLAB environment demonstrates that the proposed method improves the tracking characteristics by 7 dB and prevents the bit synchronization loss while simultaneously improving the Doppler frequency measurement accuracy under dynamic stress.

提出了一种新方法，用于设计在动态接收条件下具有低GPS信噪比的工程师侦察设备的自动定位系统。对基于GPS信号跟踪的经典定位方法进行了分析，提出了一种基于卡尔曼滤波器修正的更有效的方法。对跟踪方法进行比较分析，然后在MATLAB环境中对结果进行数值处理，结果表明，该方法将跟踪特性提高了7 dB，并防止了比特同步损失，同时提高了动态应力下的多普勒频率测量精度。