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首页> 外文期刊>IEEE Transactions on Aerospace and Electronic Systems >Suboptimal filter design with pseudomeasurements for target tracking
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Suboptimal filter design with pseudomeasurements for target tracking

机译：具有用于目标跟踪的伪测量的次优滤波器设计

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摘要

A suboptimal Kalman filter design method is presented for the problem of tracking a maneuvering target. The design method is essentially based on linear target dynamics and linear-like structured measurements called pseudomeasurements. The pseudomeasurements are obtained by manipulating the original nonlinear measurements algebraically. The resulting filter has computational advantages over other filters with similar performance. Also, a variant of the Berg model is proposed as a target acceleration model under the assumption of a coordinated turn maneuver. The proposed model is consistent with the underlying assumption. Monte Carlo computer simulation results are included to demonstrate the effectiveness of the proposed suboptimal filter associated with the target acceleration model.
机译：针对跟踪机动目标的问题，提出了一种次优的卡尔曼滤波器设计方法。该设计方法主要基于线性目标动力学和类似伪测量的线性结构化测量。伪测量是通过代数操纵原始非线性测量获得的。所得的滤波器比具有类似性能的其他滤波器具有计算优势。而且，在协调转弯操纵的假设下，提出了伯格模型的变体作为目标加速度模型。提出的模型与基本假设一致。包括蒙特卡洛计算机仿真结果，以证明与目标加速度模型相关的拟议次优滤波器的有效性。

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