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提出一种基于波达时间估计的脉冲超宽带定位方法,能够以较低的复杂度准确定位目标。文中算法利用功率时延谱对时间的一次导数构造多项式,把功率时延谱中搜索峰值的问题转化为多项式求根,可以降低搜索功率时延谱最大峰值的复杂度。由于该算法处理的是频域信号,文中设计了一种新型接收机模型,能够输出接收信号的等效频域采样值,而且能大大降低系统对ADC高采样速率的要求。Matlab仿真实验证明,该方法的TOA估计精度达到0.1 ns,定位精度达到厘米级,同时又易于工程实现。
A new method of pulse UWB positioning based on time-of-arrival estimation is proposed, which can accurately locate the target with low complexity. In this paper, the algorithm constructs a polynomial using the first derivative of the power delay profile over time, transforms the search peak in the power delay profile into a polynomial root, and reduces the complexity of the maximum peak of the search power delay profile. Because this algorithm deals with the frequency domain signal, a new receiver model is designed in this paper, which can output the equivalent frequency domain sampling value of the received signal and greatly reduce the requirement of high sampling rate of the ADC. Matlab simulation results show that the TOA estimation accuracy of this method reaches 0.1 ns, the positioning accuracy reaches centimeter level, and it is also easy to implement.