Application of pulse compression with a Doppler shift using neural network

Common biphase pulse compression techniques were not very robustness against Doppler distortions, and the peak signal-to-noise ratio of these methods was not very high. Kwan and Lee (1993) presented a pulse compression approach by using a neural network. A 40 dB peak signal-to-noise ratio can be achieved. Based on Kwan and Lee's method, we present an improved BP (backpropagation) algorithm. The robustness against Doppler distortions and the output peak signal-to-noise ratio of the improved algorithm are examined. The improved method get a 50 dB output peak signal-to-noise ratio, about 10 dB higher than Kwan and Lee's method. The improved method also has a better Doppler resistance ability.