Abstract
The existing direction-of-arrival (DOA) estimation methods only utilize the current received signals, which are susceptible to noise. In this paper, a method for DOA estimation based on a motion platform is proposed to achieve high-precision DOA estimation by utilizing past and present signals. The concept of synthetic aperture is introduced to construct a linear DOA estima-tion model. A DOA fine-tuning method based on the linear model is proposed to eliminate the lin-ear DOA variation, achieving a non-coherent accumulation of DOA estimations. Moreover, the baseband modulation and the phase modulation caused by the range history are compensated to achieve the coherent accumulation of all the DOA estimations. Simulation results show that the proposed method can significantly improve the DOA estimated accuracy at low signal-to-noise ratios (SNR).
基金项目
National Science Fund for Excellent Young Scholars(62222113)
国家自然科学基金(U22B2015)
stabilization support of National Radar Signal Processing Laboratory(KGJ202203)
中央高校基本科研业务费专项(ZDRC2004)
维普
万方数据