CAJ | 학술논문

在众多影响GPS卫星导航定位精度的误差源中，多径效应产生的误差成为最重要的误差源。基于贝叶斯估计的粒子滤波对解决非线性非高斯问题提供了一个较灵活的框架，为在多径估计基础上的多径抑制提供了一种重要解决途径。提出将遗传算法引入粒子滤波的多径信号时延估计方法，解决标准粒子滤波中的粒子退化问题。此外，采用卡尔曼滤波估计多径信号幅值。对提出的算法进行了仿真实验，并对标准的粒子滤波（ Particle Filter， PF）算法与改进的遗传算法粒子滤波（ Genetic Algorithm Particle Filter， GAPF）进行了比较。仿真结果表明，改进算法能够提高对多径信号时延的估计精度。
재음다영향GPS위성도항정위정도적오차원중，다경효응산생적오차성위최중요적오차원。기우패협사고계적입자려파대해결비선성비고사문제제공료일개교령활적광가，위재다경고계기출상적다경억제제공료일충중요해결도경。제출장유전산법인입입자려파적다경신호시연고계방법，해결표준입자려파중적입자퇴화문제。차외，채용잡이만려파고계다경신호폭치。대제출적산법진행료방진실험，병대표준적입자려파（ Particle Filter， PF）산법여개진적유전산법입자려파（ Genetic Algorithm Particle Filter， GAPF）진행료비교。방진결과표명，개진산법능구제고대다경신호시연적고계정도。
Among various error sources of GPS,the error caused by the multi-path effect has become the most significant one.The particle filtering based on Bayesian estimation provides a flexible architecture for solving the non-linear and non-Gaussian issues,and an approach to multipath mitigation based on the multipath parameters estimation.A genetic algorithm is employed to combine with the par-ticle filtering for estimating the time delays of the multipath signals. This improved particle filtering technique is capable of combating the particle degeneracy phenomenon for the standard particle filtering,and also maintaining particle diversity.In addition,a Kalman filte-ring algorithm is applied to estimate the magnitudes of the multipath signals.The performance of the improved genetic algorithm particle filtering(GAPF)is compared with that of the standard particle filtering.The simulation results show that the improved particle filtering is superior to the standard particle filtering in estimation accuracy of multipath time delays.