Abstract:

It is an urgent task to improve the passive location precision. To solve the problem that time difference passive location is sensitive to interference and noise, this paper proposes a five-element cross array passive location algorithm based on kernel canonical correlation analysis. The novel blind source separation algorithm based on kernel canonical correlation analysis is investigated firstly, and then the estimation of time difference obtained from correlative analysis is used to improve time difference and location performance. The simulation results show that the implementation of this location method is relatively simple and effective, which can satisfy the demand of engineering application.