滤波算法在导航雷达运动目标跟踪过程中起着重要的作用，舰船导航雷达的目标跟踪是指在雷达系统中对运动目标进行连续跟踪和预测其位置、速度和加速度等运动参数的过程。由于雷达系统受到噪声和杂波的干扰，目标的真实位置往往无法直接观测到，因此需要通过滤波算法来对观测数据进行处理和估计。粒子滤波是一种非线性滤波算法，通过对目标状态进行随机采样，可以解决非线性系统的目标跟踪问题。本文基于粒子滤波算法，研究舰船导航雷达运动目标跟踪过程的信号处理，并进行了仿真测试。
Filtering algorithms play an important role in the tracking process of moving targets in navigation radar. Target tracking in ship navigation radar refers to the process of continuously tracking and predicting motion parameters such as position, velocity, and acceleration of moving targets in the radar system. Due to the interference of noise and clutter in radar systems, the true position of the target often cannot be directly observed, so filtering algorithms are needed to process and estimate the observed data. Particle filter is a nonlinear filtering algorithm that can solve the problem of target tracking in nonlinear systems by randomly sampling the target state. This article studies the signal processing of ship navigation radar moving target tracking process based on particle filter algorithm, and conducts simulation tests.
2023,45(21): 177-180 收稿日期：2023-4-19
DOI：10.3404/j.issn.1672-7649.2023.21.033
分类号：TP274
基金项目：辽宁省民办教育协会教育科学“十四五”规划项目（LMJX2021246）；辽宁省教育厅科学研究经费项目（LJKXM202213）
作者简介：耿立明(1981-)，女，硕士，副教授，研究方向为自动化技术及智能建造技术。
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