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Evaluating a linear predictive algorithm for bandwidth conservation

机译：评估带宽节省的线性预测算法

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摘要

A predictive algorithm for bandwidth conservation and enhanced situation awareness is described and evaluated. In such a system, knowledge of position and intent of the participants involved in the operation must be readily available, and distributed to other units by communications link. This objective can be achieved by predicting position tracks of each unit ahead in time, based on past kinematic history. If the predicted position is within error requirements, then the track estimate is not transmitted over the communication links, which results in considerable savings in bandwidth. However, if the prediction error exceeds such tolerance, a linear predictive algorithm based on linear regression (LR) is used to encode the error. The encoding sequence, in addition to the current unit location, is transmitted to other units by means of communication links. Receiving units, equipped with an identical software package can reconstruct the unit's location from information contained in the encoded sequence and past track history. Analysis of this algorithm is presented and its performance is validated by simulation.
机译：描述和评估了带宽节省和增强态势感知的预测算法。在这样的系统中，参与操作的参与者的位置和意图的知识必须易于获得，并通过通信链路分配给其他单元。可以根据过去的运动历史通过提前预测每个单元的位置轨迹来实现此目标。如果预测位置在误差要求之内，则不会在通信链路上发送轨道估计值，从而可节省大量带宽。但是，如果预测误差超过此公差，则可以使用基于线性回归（LR）的线性预测算法对误差进行编码。除当前单元位置外，编码序列还通过通信链接传输到其他单元。配备有相同软件包的接收单元可以根据编码序列中的信息和过去的跟踪历史来重建单元的位置。对该算法进行了分析，并通过仿真验证了其性能。

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