基于总体最小二乘的核四极矩共振参数估计

The estimation of NQR parameters based on total least squares

核四极矩共振(NQR)是一种固态射频谱分析技术,可用于检测高危险爆炸物。然而,NQR信号本身非常弱,并且易受线圈的热噪声和外部射频干扰的影响,低信噪比限制了NQR技术的实际应用。在研究自由感应衰减信号特性基础上,应用基于总体最小二乘法的线性预测估计器对NQR信号的参数进行估计,仿真数据和实测数据结果验证了该算法的有效性。

Nuclear quadrupole resonance（NQR） is a solid-state radio frequency（RF） spectroscopic technique,allowing the detection of many high explosives.Unfortunately,NQR signals are inherently weak and vulnerable both to the thermal noise of the coil and any external radio frequency interference（RFI）,the practical use of NQR is restricted by the low signal-to-noise ratio（SNR）.On the basis of the investigation of the characteristic of the free induction decay（FID） signal,the linear prediction estimator based on the total least squares is applied to estimate the parameters of the NQR.The effectiveness of this algorithm is demonstrated with the results of both simulated data and experimental data.