Radar signal design problem with neural network processing

Binary and ternary sequences with peaky autocorrelation, measured in terms of high discrimination and merit factor have been searched earlier, using o ptimization techniques. It is shown that the use of neural network processi ng of the return signal is much more advantageous. It opens up a new signal design problem, which is solved by an optimization technique called Hammin g scan, for both binary and ternary sequences.