Sidelobes suppression algorithm for random frequency step signal based on neural network
Yinsheng Wei · Systems engineering and electronics · 2004
In order to evade the interference, HF radar transmits the random frequency step waveform. However, using conventional method to process this waveform would result in very high sidelobes. A least square method based on continuous Hopfield neural network is presented. The method can successfully suppress the range sidelobes and improve the radar's viability in heavy electromagnetic environment. Compared with the method using LS directly, the new method has better stability and can suppress the range sidelobes more successfully.