A New AOA Estimation Algorithm Of Wideband Chirp Signals

摘要

A novel time-frequency approach to direction finding of wideband chirp source is proposed. Our technique employs the characteristic that the direction vector of wideband chirp signal is arithmetic progression to construct virtual sensors. By the time-frequency selectivity of Wigner-Ville distribution, a new data model is constructed to estimate 2-D AOA of each signal one by one. Randon transformation is used to suppress noise and cross-terms of signals. The computation cost of the method is low because no focusing and interpolating is needed, even no singular value decomposition is needed. Simulation results illustrate the performance of the method.