Sorting radar signal based on the resemblance coefficient of bispectrum two dimensions characteristic

摘要

Commom method have low sorting rates and is rensitive to the Signal Noise Radio (SNR), thus, resemblance coefficient of bispectrum two dimensions characteristic !s applied to sort unknown complicated radar signal to obtain high sorting rate. The bispectrum 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 they are used as the sorting parameters. The bispectrum of different signal is distinguishing and it is not sensitive to SNR and the resemblance coefficient is divisible and steady. The advantage of this new method is validated by simulation results and the sorting rate is not less than 86% at SNR of 5 dB.