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首页> 外文期刊>IEEE Transactions on Aerospace and Electronic Systems >Multi-target tracking using multiple passive bearings-only asynchronous sensors
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Multi-target tracking using multiple passive bearings-only asynchronous sensors

机译：使用多个仅用于被动轴承的异步传感器进行多目标跟踪

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摘要

Passive tracking relies on detection of energy emitted by zero or more targets in surveillance space. When detection occurs, the angle of arrival, or the angle between the sensor and the possible target is measured, with a measurement error. Both targets and sensors can be moving, thus additional source of error is the sensor position uncertainty. If the targets emit beams of energy randomly, then each sensor will detect each target at random times, which are independent from sensor to sensor. False detections or clutter measurements also occur at random times for each sensor. Existence, number, and position of targets are unknown in the surveillance region. The origin of each measurement is unknown, as the measurement may be a detection from any target being tracked, or a clutter detection, or a detection from a new target. The recursive algorithm presented integrates information from measurements received by an arbitrary number of sensors, to determine the existence, number, and position of targets in a stochastic manner, given assumptions listed above. Simulations show the effectiveness of this approach in a multi-target scenario.
机译：被动跟踪依赖于检测监视空间中零个或多个目标发出的能量。发生检测时，将测量到达角度或传感器与可能目标之间的角度，并带有测量误差。目标和传感器都可以移动，因此误差的另一个来源是传感器位置不确定性。如果目标随机发射能量束，则每个传感器将在随机时间检测到每个目标，这与各个传感器无关。每个传感器还会在随机时间发生错误检测或混乱测量。在监视区域中目标的存在，数量和位置未知。每个测量的起源都是未知的，因为该测量可能是来自正在跟踪的任何目标的检测，杂波检测或来自新目标的检测。给出的递归算法将来自任意数量的传感器接收到的测量结果中的信息进行整合，以随机方式确定目标的存在，数量和位置（给定上面列出的假设）。仿真显示了这种方法在多目标方案中的有效性。

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