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Track-before-detect for sea clutter rejection: tests with real data

机译:检测前跟踪以防止海杂波:使用真实数据进行测试

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摘要

Track-before-detect (TBD) is a popular incoherent energy integration technique aimed at improving detectability of weak targets. A number of studies are available in the literature demonstrating its efficacy against disturbance (whether noise or clutter), but most of them refer to synthetic data, i.e., relying on computer simulations. In this paper, we tackle the problem of assessing the TBD performance with real data and in a particularly severe clutter environment, i.e., sea-clutter. Precisely, using a set of real data from a ground-based sea-search radar, we implement TBD directly on the plot-lists coming from the radar plot extractor (this be can done with acceptable complexity by using an ad hoc dynamic programming algorithm), and demonstrate its effectiveness in reducing sea-clutter. As a further contribution, we also develop an improved decision logic for plot confirmation.
机译:检测前跟踪(TBD)是一种流行的非相干能量集成技术,旨在提高弱目标的可检测性。文献中有许多研究证明了其对干扰(不管是噪声还是杂波)的功效,但是它们中的大多数是综合数据,即依赖于计算机模拟。在本文中,我们解决了使用真实数据以及在特别严峻的杂波环境(即海杂波)中评估TBD性能的问题。精确地,使用来自地面海搜索雷达的一组真实数据,我们直接在来自雷达图提取器的图列表上实现TBD(这可以通过使用临时动态规划算法以可接受的复杂度完成) ,并证明了其在减少海杂物方面的有效性。作为进一步的贡献,我们还开发了用于情节确认的改进决策逻辑。

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