Abstract:

Based on local polynomial Fourier transform (LPFT), a novel efficient narrow-band polynomial phase signal direction of arrival estimation algorithm is presented. Although LPFT is more complex than the Wigner-Ville distribution, it estimates the instantaneous frequency (IF) of signals more accurately, with lower cross-term effects and the ability to deal with polynomial phase signals. Theoretical analysis shows that the signal to noise improved ratio of the method is better than traditional time-frequency multiple signal classification (MUSIC) method based on Wigner-Ville distribution. Simulation results verify the performance of the method.