Analysis of Bistatic Range and Velocity Tracking Performance according to Dynamic Models in Passive Bistatic Radar

Ho Jae Kim, Geun-Ho Park, Dong-Gyu Kim, Hyoung-Nam Kim
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Abstract

This paper analyzes the bistatic range and velocity tracking performance of a target according to the dynamic model of the Kalman filter in a passive bistatic radar (PBR). The bistatic range and velocity can be derived using the time difference and Doppler frequency, respectively. In order to improve the detection performance of the location and velocity of the target in the PBR, time difference and Doppler frequency need to be precisely estimated. This can be achieved by tracking the state of an object with the use of a Kalman filter, the tracking performance of which is affected by the used dynamic model. In this paper, constant velocity model and constant acceleration model are used for analyzing the tracking performance of bistatic range and velocity obtained by the Kalman filter in target movement with constant velocity and acceleration.
基于动态模型的被动双基地雷达距离和速度跟踪性能分析
根据被动双基地雷达中卡尔曼滤波的动态模型,分析了目标的双基地距离和速度跟踪性能。利用时差和多普勒频率分别可以得到双基地距离和速度。为了提高PBR中目标位置和速度的检测性能,需要精确估计时差和多普勒频率。这可以通过使用卡尔曼滤波器跟踪对象的状态来实现,其跟踪性能受到所使用的动态模型的影响。本文采用等速模型和等速模型分析了卡尔曼滤波在等速和等速目标运动中对双基地距离和速度的跟踪性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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