A study on the lateral cross localization using direction angle in far-field environment
For the problem of poor accuracy in passive location with far field and small aperture array under strong interference,a location algorithm was proposed based on direction angle lateral cross.Firstly the principle of cross lateral positioning method was analyzed to construct the improved targeting geometrical and numerical models.Then target estimate prediction equation was established by the building model and the nonlinear prediction equation was processed by linearization.The prediction equation was developed at the reference point with Taylor series and the correction equation was obtained.The goal's progressive unbiased estimate was obtained by optimizing control of iterative process to achieve target pinpoint.The main error factors of the proposed algorithm were analyzed to study the impacts on the target location accuracy of different errors.Simulation results show that the proposed algorithm can locate the target effectively and has better positioning performance than traditional location algorithms in large direction angle error and background noise.