Algorithm of ASDP Based on Heterogeneous Sensors

Xiaoyong Wu, Gang Liu, Tao Jing
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引用次数: 1

Abstract

The research on information fusion of heterogeneous sensors from air or underwater is significant and difficult for either military or business. Apart from different principles of sensors, time-delay, target movement, detection probability, such factors affect performance of sensors in various environments prominently. This project proposes fusion algorithm of ASDP, which aims to resolve the joint detection performance for underwater objects. Analysis based on ADSP for joint detection in task fleet or other allied detective operations is calculated efficiently and understood easily. Simulation experiment results shows that ADSP is very helpful for commanders who acquire the whole detected region's profile of battle field to make right decisions, especially useful in early warning, the efficiency of target tracking, computation of probability of destroy and deployment optimization of anti-submarine forces.
基于异构传感器的ASDP算法
空中和水下异构传感器信息融合的研究是军事和商业领域的重要和难点问题。除了传感器的工作原理不同、时延、目标运动、检测概率等因素外,这些因素对传感器在各种环境下的性能影响较大。本课题提出ASDP融合算法,旨在解决水下目标联合检测性能问题。基于ADSP的联合侦察分析在编队或其他联合侦察行动中计算效率高,易于理解。仿真实验结果表明,ADSP在反潜部队的早期预警、目标跟踪效率、摧毁概率计算和部署优化等方面具有重要的应用价值,有助于指挥官掌握整个被探测区域的战场轮廓,做出正确的决策。
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