Radar emitter signal sorting based on resemblance coefficient of ambiguity function

Sorting rate of current methods is not high and they are sensitive to the signal noise ratio (SNR). To solve these problems, a novel sorting algorithm for radar emitter is proposed. The ambiguity function of received signal is extracted and it is predigested to two dimensions characteristic, a rectangle pulse sequence and triangle pulse sequence are constructed, then the resemblance coefficient of two dimensions characteristic with rectangle pulse sequence and triangle pulse sequence are gained, and are used as the sorting parameters. For ambiguity function of different signal is distinguishing and it is not sensitive to SNR, the resemblance coefficient is divisible and steady, the advantage of this new method is validated by simulation results, and the lowest sorting rate is 90% at SNR=10 dB.