Improving Spatial WVD and Hough Transform Based Algorithm for Near-Field Sources Parameter Estimation and Performance Analysis
改进的基于Spatial WVD和Hough变换的近场信源参量估计及性能分析

The array snap shot is similar with linear frequency modulation (LFM) signal when scatter point located in the near-field,so the near-field sources parameter can be deduced by estimating chirp rate and initial frequency of LFM. A method is proposed propose which using spatial-frequency joined weight WVD for cross-product terms suppressing at first,and taking edge detecting in image domain followed by applying Hough transformation for line detecting and eliminating cross-product terms at the most, then giving the sources parameter estimation, such as direction-of-arrival (DOA) and range by using least square algorithm.Advantages of this approach are that cross-product terms are suppressed markedly and accurate source DOA/rang estimates is obtained without search of a multi-dimensional space.The effectiveness of the algorithm is proved by extensive simulation.