Signal Processing of Automobile Millimeter Wave Radar Base on BP Neural Network
نویسندگان
چکیده
In this paper BP neural network is used for signal processing of automobile millimeter wave radar instead of FFT(Fast Fourier Transform). Simulation results show that BP neural network is superior to FFT. FFT has the drawback such as large computation and frequency spectrum leakage. The BP neural network has three layers(one input layer, one hidden layer, one output layer).The network is trained by using ideal value in the off-line situation. Then inputting the sampling value of signal, the frequency of signal can be got from output in the online situation. Compared with conventional FFT, significant performance improvement has been achieved.
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