Velocity estimation methods for frequency-only MIMO radar

Y. Kalkan, B. Baykal
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引用次数: 0

Abstract

After finding position in 2D space, target velocity can be estimated by using found target position information and used cost function. In this paper, velocity estimation is achieved for pre-proposed target localization methods. For target localization, time of arrival (TOA), angle of arrival (AOA) and frequency of arrival (FOA) informations can be used in cooperation. When the time resolution of the transmitted signals is not enough or good,i.e.; unmodulated CW radar, we can not rely on the TOA information to localize the target. On the other hand, if the frequency resolution of the transmitted signals is enough, only received frequencies can be used for finding the position of the target. Localization of a moving, non-maneuvering target is possible by using Doppler-shift measurements in MIMO radar systems. This is a nonlinear problem and it can be solved by grid searching. After defining suitable cost function for grid search, desired area can be searched grid by grid to find the position of the target in 2D space. After target positioning is achieved, velocity of the target can be found by using predefined cost function.
纯频率MIMO雷达的速度估计方法
在二维空间中找到目标位置后,利用找到的目标位置信息和使用的代价函数来估计目标速度。本文对预先提出的目标定位方法进行了速度估计。在目标定位中,可以协同使用到达时间(TOA)、到达角度(AOA)和到达频率(FOA)等信息。当传输信号的时间分辨率不够或不够好时,即;在无调制连续波雷达中,我们不能依靠TOA信息对目标进行定位。另一方面,如果发射信号的频率分辨率足够,则只能使用接收到的频率来寻找目标的位置。在MIMO雷达系统中,可以使用多普勒频移测量来定位移动的、非机动的目标。这是一个非线性问题,可以通过网格搜索来解决。在定义合适的网格搜索代价函数后,可以逐网格搜索所需区域,以找到目标在二维空间中的位置。目标定位完成后,利用预定义的代价函数求出目标的速度。
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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