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An Efficient Radar Detection Method of Maneuvering Small Targets
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Detection of maneuvering small targets has always been an important yet challenging task for radar signal processing. One primary reason is that target variable motions within coherent processing interval generate energy migrations across multiple resolution bins, which severely deteriorate the parameter estimation performance. A coarse-to-fine strategy for the detection of maneuvering small targets is proposed. Integration of small points segmented coherently is performed first, and then an optimal inter-segment integration is utilized to derive the coarse estimation of the chirp rate. Sparse fractional Fourier transform (FrFT) is then employed to refine the coarse estimation at a significantly reduced computational complexity. Simulation results verify the proposed scheme that achieves an efficient and reliable maneuvering target detection with -16dB input signal-to-noise ratio (SNR), while requires no exact a priori knowledge on the motion parameters.
small targetchirpsparse fractional Fourier transform (FrFT)
Hongchi Zhang、Yuan Feng、Shengheng Liu
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School of Information and Electronics, Beijing Institute of Technology and Beijing Key Laboratory of Fractional Signals and Systems, Beijing 100081, China
School of Information Science and Engineering, Southeast University, Nanjing 210096, China
国家自然科学基金国家自然科学基金国家自然科学基金北京市自然科学基金Basic Research Program of Jiangsu Province
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