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Underwater four-quadrant dual-beam circumferential scanning laser fuze using nonlinear adaptive backscatter filter based on pauseable SAF-LMS algorithm

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Defence Technology（防务技术） 2024年第7期37卷 1-13页

作者： Guangbo Xu Bingting Zha Hailu Yuan Zhen Zheng He Zhang Ministerial Key Laboratory of ZNDY Nanjing University of Science and TechnologyNanjing 210094China Science and Technology on Electromechanical Dynamic Control Laboratory Beijing 100081China Shanghai Radio Equipment Research Institute Shanghai 201109China

The phenomenon of a target echo peak overlapping with the backscattered echo peak significantly undermines the detection range and precision of underwater laser *** overcome this issue,we propose a four-quadrant dual-beam circumferential scanning laser fuze to distinguish various interference signals and provide more real-time data for the backscatter filtering *** enhances the algorithm loading capability of the *** order to address the problem of insufficient filtering capacity in existing linear backscatter filtering algorithms,we develop a nonlinear backscattering adaptive filter based on the spline adaptive filter least mean square(SAF-LMS)*** also designed an algorithm pause module to retain the original trend of the target echo peak,improving the time discrimination accuracy and anti-interference capability of the ***,experiments are conducted with varying signal-to-noise ratios of the original underwater target echo *** experimental results show that the average signal-to-noise ratio before and after filtering can be improved by more than31 d B,with an increase of up to 76%in extreme detection distance.

关键词： Laser fuze Underwater laser detection Backscatter adaptive filter Spline least mean square algorithm nonlinear filtering algorithm

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Continuous Passive TDOA Location Method Based on Multi-Flight-Vehicle Cooperation

Continuous Passive TDOA Location Method Based on Multi-Fligh...

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第30届中国控制与决策会议

作者： Zhang Jie Zhang Dong Huang Xue-mei Shi Xiao-rong Beijing Institute of Control and Electronics Technology

In order to detect passively targets fixed on the ground or targets on the sea surface with multi-flight-vehicle cooperation, a continuous passive TDOA（Time difference of arrival） location method is presented which can be applied to multi-flight-vehicle platform. Measurement information used in the method includes time difference, angle of target, and distance between receiving stations. nonlinear system model is established in the method. In order to continuously estimate the target’s accurate position, Unscented Kalman Filter（UKF） is used to solve the nonlinear model. The method solves the problem that mobile platforms in the air cannot give accurate passive TDOA location of targets, when the receiving stations’ positioning is inaccurate and the configuration of the stations is unfixed. Simulation results show that the continuous passive TDOA location method has high location accuracy and strong convergence, and change of spatial configuration of multi-flight-vehicle cooperative flight has little influence on the positioning accuracy.

关键词： Passive TDOA Location Multi-flight-vehicle Cooperation nonlinear filtering algorithm Unscented Kalman Filter

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