贝叶斯频谱估计和PIXON算法在二维目标定位中的应用

The Application of Bayesian Spectrum Estimation and PIXON Algorithm in Two-dimensional Object Orientation

通过对发射信号和反射信号的相位进行测定发现,随着目标物的位置不同,反射信号的相位偏移也随之发生变化,而利用雷达进行目标定位的基本思想就是从反射波的特征中提取出目标的位置信息。基于这种思想,本文设计了相移式目标定位装置,并对采集到的数据运用贝叶斯频谱估计的方法进行了分析,为进一步提高测量精准度,本文还利用了PIXON算法对结果图进行了图形优化。

When using oscilloscope in Lissajous pattern, we find that as the object moves, the phase shift will occur between the transmitting and receiving signals. Through this phenomenon, we built the followed circuit to convert the phase shift into Voltage change. In the process of data analysis, Bayesian spectrum estimation is applied as the analysis tool. In order to get better resolution, PIXON algorithm is applied to the result picture for shape optimism. I hope this method could be applied to detecting the landmine and the public pipe underground.