A Target Tracking Algorithm based on Fractional Ambiguity Function in Impulsive Noise Environment
Information Science and Technology College, Dalian Maritime University, Dalian, 116026, China
2 Information Engineering College, Dalian University, Dalian, 116622, China
a Corresponding author: Shi_xiao_fei_57@163.com
This paper proposes an airplane tracking algorithm based on study of the problem of interference localization. Firstly, a novel signal model to accurately estimate parameters of the airplane is proposed in impulsive noise environment. A method of instantaneous Doppler frequency estimation based on peak searching of the fractional lower-order ambiguity function based on the fractional Fourier transform (FLOS_FAF) is proposed, and a method of projection approximation subspace tracking using robust m-estimation method based on fractional lower-order ambiguity function in fractional Fourier transform domain (FF-RLM_PAST) is proposed to estimate the azimuth angle and elevation angle. As a result, the airplane tracking is achieved in bistatic radar, laying the foundations for interference localization. The correctness and effectiveness of the proposed method are verified with the computer simulation.
© Owned by the authors, published by EDP Sciences, 2016
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