基于对数调频谐波仿生信号的参量估计

Parameter Estimation Based on Bat-inspired Signals with Logarithmic Frequency Modulation

介绍了一种基于仿生信号的参量估计方法。首先给出了仿生信号模型,针对常用的线性调频(LFM)谐波信号和对数调频谐波信号,分析了其宽带模糊度图,比较了两者的时延分辨率。在此基础上,采用仿生生物模型对2种信号进行了处理,并运用1组Q值相同、带宽变化的有限脉冲响应(FIR)滤波器组实现耳蜗滤波。最后,对这2种仿生信号的检测性能、距离估计的精度及其均方根误差进行比较。分析表明,仿生生物模型采用对数调频谐波信号具有较好的时延分辨性能,同时具有更好的检测和参量估计性能。

Considering the remarkable target detection performance of a bat, the wideband ambiguity functions of bat-inspired signals with linear frequency modulation（LFM） and logarithmic time frequency modulation（LTFM） are analyzed. The results indicate that the time delay resolution of LTFM is more superior to that of LFM. The bat-inspired signal processing model based on the bat echolocation system is also discussed. A finite impulse response（FIR） linear filter bank with same Q value and different bandwidth is used to implement a cochlear filter. Conclusion is drawn that the bat-inspired signal processing model with LTFM can achieve better time delay resolution performance than the same model with LFM, and it behaves better in detection and parameter estimation.