A Simplified Technique for Distance and Velocity Measurements of Multiple Moving Objects Using a Linear Frequency Modulated Signal
A Simplified Technique for Distance and Velocity Measurements of Multiple Moving Objects Using a Linear Frequency Modulated Signal
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DOI：
10.1109/jsen.2016.2563458
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发表时间：
2016-08-01
影响因子：
4.3
通讯作者：
Ka, Min-Ho
中科院分区：
文献类型：
--
作者：
Lee, Tae-Yun;Jeon, Se-Yeon;Ka, Min-Ho
在本文中，我们提出了一种简化算法，用于对具有调频连续波信号的传感器观测到的移动物体的距离和径向速度进行无偏估计。线性调频信号及其不同的修改广泛用于各种微波传感器，用于汽车、安全、工业和其他应用中的短程到中程测量。由于到被检测物体的范围（距离）是作为零差接收器输出处的拍频来测量的，因此多普勒频移会导致该范围的测量有偏差。这种现象长期以来一直是众所周知的。随着雷达视野内物体数量的增加，情况变得更加不确定。有许多提出的技术来解决这个问题，其中一种主要技术是根据检测到的物体的数量添加多个方程，以期找到单一的解决方案。我们提出了这些方程的简化系统，在程序开始时排除了假设树中的所有不确定性。当信号处理硬件的性能有限时，算法的简单性就显得尤为重要。所提出的技术足够简单，可以在嵌入式微处理器上使用。我们进行了一个涉及真实微波传感器的实验，以确认所提出算法的有效性。
In this paper, we propose a simplified algorithm for the unbiased estimation of range and the radial velocity of moving objects observed by a sensor with a frequency-modulated continuous wave signal. Linear frequency modulated signals and their different modifications are widely used in various microwave sensors for short-to medium-range measurements in automotive, safety, industrial, and other applications. Since the range (distance) to a detected object is measured as a beat frequency at the homodyne receiver output, the Doppler shift results in a biased measurement of the range. This phenomenon has been well known for a long time. The situation becomes more uncertain with an increase in the number of objects within the radar's field of view. There are many proposed techniques to solve this problem with one main technique adding a number of equations according to the number of detected objects in the hope of finding a single solution. We propose a simplifed system of those equations excluding all uncertainties from the hypothesis tree at the beginning of the procedure. When the performance of the signal processing hardware is limited, the simplicity of the algorithm increases in importance. The proposed technique is simple enough to be used on an embedded microprocessor. We performed an experiment involving a real microwave sensor to confirm a validity of the proposed algorithm.