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MIMO radar joint estimation of target location and velocity with multiple subcarrier signals

机译:具有多个副载波信号的MIMO雷达联合估计目标位置和速度

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摘要

This paper analyzes the effect of waveform parameters on the joint target location and velocity estimation by non-coherent multiple-input multiple-output (MIMO) radar transmitting multiple subcarriers signals without energy constraint. How the number of subcarriers influence the estimation accuracy is illustrated by considering the joint Cramer-Rao bound (CRB) and the mean square error (MSE) of the maximum likelihood (ML) estimate. The non-coherent MIMO radar ambiguity function (AF) with multiple subcarriers is developed and investigated by changing the number of subcarriers, the pulse width and the frequency spacing between adjacent subcarriers. The numerical results show that more subcarriers means more accurate estimate and higher localization resolution, larger pulse width results in worse performance of target location estimation, while the frequency spacing affects target location estimation little.
机译:本文分析了波形参数对发射无能量约束的多个副载波的非相干多输入多输出(MIMO)雷达的联合目标位置和速度估计的影响。通过考虑联合的Cramer-Rao界(CRB)和最大似然(ML)估计的均方误差(MSE),说明了子载波的数量如何影响估计精度。通过改变子载波的数量,脉冲宽度和相邻子载波之间的频率间隔,开发并研究了具有多个子载波的非相干MIMO雷达模糊度函数(AF)。数值结果表明,更多的子载波意味着更准确的估计和更高的定位分辨率,较大的脉冲宽度导致目标位置估计的性能变差,而频率间隔对目标位置估计的影响很小。

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