基于最大熵法的汽车毫米波雷达信号的处理

Signal Processing of Automobile Millimeter Wave Radar Based on Maximum Entropy Method

由于传统的快速傅立叶变换(FFT)和神经网络在汽车毫米波雷达信号的处理方面存在缺陷性,文中探讨了基于最大熵法(MEM)的汽车毫米波雷达信号的处理,通过仿真分析比较FFT、神经网络和MEM法的功率谱估计,从而得知MEM法在汽车毫米波雷达短时信号处理精度更高,抗干扰能力更强。

Because the traditional fast Fourier transform （FFT） and nerve network （NN） has some shortcoming in the processing of the automobile millimeter. Wave radar signal based on maximum entropy method （ MEM）, the processing of the automobile millimeter wave radar signal is studied in this paper. The power spectrum estimation with FFF, NN and MEM is analyzed through simulation. This study shows that MEM can reach higher precision and has stronger robustness on automobile millimeter wave radar short time signal processing.