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Track-before-detect for bistatic radar based on pseudo-spectrum

Chinese Journal of Aeronautics 2024年第1期37卷 236-246页

作者： Tao HAN Gongjian ZHOU School of Electronics and Information Engineering Harbin Institute of TechnologyHarbin 150001China Key Laboratory of Marine Environmental Monitoring and Information Processing Ministry of Industry and Information TechnologyHarbin 150001China

Track-Before-Detect(TBD) is an efficient method to detect dim targets for radars. Conventional TBD usually follows an approximate motion model of the target, which may cause an inaccurate integration of the target energy. A TBD technique on basis of pseudo-spectrum in mixed coordinates adopting an accurate motion model for bistatic radar system is developed in this *** predicted position in bistatic polar plane is derived according to a nonlinear function that exactly describes the constant Cartesian velocity motion. Then around the predicted position, a pseudo-spectrum is formulated and its samples are accumulated to the integration frame for energy integration. The evolution of the state and the procedure of accumulation of the target energy are derived elaborately. The superior performance of the proposed method is demonstrated by some simulations.

关键词： Weak target detection Bistatic radar Track-before-detect Pseudo-spectrum multiframe integration

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multiframe track-before-detect method based on velocity filtering in mixed coordinates

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Journal of Systems Engineering and Electronics 2022年第2期33卷 247-258页

作者： WANG Liangliang ZHOU Gongjian School of Electronics and Information Engineering Harbin Institute of TechnologyHarbin 150001China Key Laboratory of Marine Environmental Monitoring and Information Processing Ministry of Industry and Information TechnologyHarbin 150001China

In this paper,a velocity filtering based track-before-detect algorithm in mixed coordinates is presented to address the problem of integration loss caused by inaccurate motion model in polar coordinate *** the motion of a con-stant velocity(CV)target is better modeled in Cartesian coordi-nates,the search of measurements for integration in polar sensor coordinates is carried out according to the CV model in Cartesian coordinates instead of an approximate model in polar sensor *** position of each cell is converted into Cartesian coordinates and predicted according to an assumed ***,the predicted Cartesian position is converted back to polar sensor coordinates for multiframe *** use of the correct model improves integration effectiveness and consequently improves algorithm *** handle the weak target with unknown velocity,a velocity filter bank in mixed coordinates is *** influence of velocity mis-match on the performance of filter bank is analyzed,and an effi-cient strategy for filter bank design is *** re-sults are presented to demonstrate the effectiveness of the pro-posed algorithm.

关键词： mixed coordinate approach velocity filtering multiframe integration weak target detection polar sensor coordinate

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