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首页> 外文期刊>IEEE Transactions on Aerospace and Electronic Systems >Integrated track splitting filter--efficient multi-scan single target tracking in clutter
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Integrated track splitting filter--efficient multi-scan single target tracking in clutter

机译：集成的轨道分割滤波器-杂波中高效的多次扫描单目标跟踪

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摘要

A fully automatic tracking algorithm must be able to deal with an unknown number of targets, unknown target initiation and termination times, false measurements and possibly time-varying target trajectory behaviour. An efficient algorithm for tracking in this environment is presented here. This approach makes use of estimates of the probability of target existence, which is an integral part of the algorithm. This allows for the efficient generation and management of possible target hypotheses, yielding an algorithm with performance that matches what can be obtained by multiple hypothesis tracking-based approaches, but at a significantly lower computational cost. This paper considers only the single target case for clarity. The extension to multiple targets is easily incorporated into this framework. Simulation studies are given that show the effectiveness of this approach in the presence of heavy and nonuniform clutter when tracking a target in an environment of low probability of detection and in an environment where the target performs violent manoeuvres.
机译：全自动跟踪算法必须能够处理未知数量的目标，未知的目标起始和终止时间，错误的测量以及可能随时间变化的目标轨迹行为。这里介绍了一种在这种环境下进行跟踪的有效算法。这种方法利用了目标存在概率的估计，这是算法的组成部分。这允许有效地生成和管理可能的目标假设，从而产生一种算法，其性能与可以通过基于多个假设跟踪的方法获得的性能相匹配，但计算成本却大大降低。为了清楚起见，本文仅考虑单个目标案例。多个目标的扩展很容易合并到此框架中。给出的仿真研究表明，在检测概率较低的环境中以及在目标执行猛烈动作的环境中跟踪目标时，在存在繁重且不均匀的杂波的情况下该方法的有效性。

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