Velocity Estimation Method Considering Doppler Effect and PSO Based Algorithm for Satellites Constellation IRNSS and GPS

G. Jyothi, B. Dhanraj, J. Pavanija, G. Kiran Kumar, A. Bose, Pratibha Verma
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Abstract

In this work, a method for velocity estimation of the user is done using a GPS-IRNSS/NavIC/ SBAS (IGS) receiver. With the help of the receiver in a moving vehicle, dynamic data is logged continuously in IRNSS/ NavIC+GPS hybrid operation to get receiver’s coordinates, Geometric dilution of precision (GDOP) and receiver’s velocity. The logged values of receiver’s coordinate contain errors, which is minimized first considering Satellite Selection Algorithm (SSA) based on GDOP values and then by applying PSO based algorithm to reduce Doppler shift effect and receiver’s clock offset. After improvement of dynamic receiver’s coordinates for each observation, velocity of receiver is calculated. Results show that velocity obtained using this estimation technique is more accurate in comparison to the velocity information provided by the IGS receiver. This finds major applications in real time vehicle tracking for various applications. In addition, atmospheric delays are expressed here in terms of Doppler shift.
考虑多普勒效应和基于粒子群算法的卫星星座IRNSS和GPS速度估计方法
在这项工作中,使用GPS-IRNSS/NavIC/ SBAS (IGS)接收机完成了用户速度估计方法。在IRNSS/ NavIC+GPS混合操作中,借助移动车辆中的接收机,连续记录动态数据,得到接收机的坐标、几何精度稀释(GDOP)和接收机的速度。首先考虑基于GDOP值的卫星选择算法(Satellite Selection Algorithm, SSA),然后采用基于粒子群算法(PSO)减小多普勒频移效应和接收机时钟偏移,使接收机坐标记录值中包含误差最小化。对每次观测的动态接收机坐标进行改进后,计算接收机的速度。结果表明,与IGS接收机提供的速度信息相比,利用该估计技术获得的速度信息更为准确。这在各种应用中发现了实时车辆跟踪的主要应用。此外,大气延迟在这里用多普勒频移表示。
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