基于卡尔曼滤波和MUSIC算法的移动目标快速跟踪

Yan Guo, Zuping Qian, Zeqing Yao, Ning Li
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引用次数: 1

摘要

提出了一种基于卡尔曼滤波的移动通信天线阵列运动目标到达方向跟踪方法。提出的方案有两个主要的新特点。首先,需要对传统卡尔曼滤波进行测量变换。然而,它是困难和昂贵的获得。我们的方法可以在没有这个消息的情况下工作。其次,传统的MUSIC算法需要在整个平面上搜索目标的方位,计算量大。我们的方法只会通过整个飞机的一部分搜索目标的方位。这将大大节省计算成本。仿真结果表明,该方法具有与其他方法相似的精度,但计算复杂度较低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fast Mobile Target Tracking Based on Kalman Filter and MUSIC Algorithm
This paper presents a Kalman-filter-based method, to track the direction-of-arrival (DOA) of a moving target using antenna array in mobile communications. There are two major new features about the proposed scheme. Firstly, traditional Kalman filter needs measurement transformed. However, it is difficult and costly to be obtained. And our method could work without this message. Secondly, the traditional MUSIC algorithm would search the DOA of the targets through the whole plane, which is computational expensive. Our method would search the DOA of the targets only through some part of the whole plane. This leads to great savings in computational cost. Of the proposed algorithm, simulation results show that our method has similar accuracy to other method, but offers cheaper computational complexity.
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