Suboptimal filter design with pseudomeasurements for target tracking
Suboptimal filter design with pseudomeasurements for target tracking
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DOI：
10.1109/7.1033
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发表时间：
1988
影响因子：
4.4
通讯作者：
T. Song;J. Ahn;C. Park
中科院分区：
文献类型：
--
作者：
T. Song;J. Ahn;C. Park
针对机动目标跟踪问题，提出了一种次优卡尔曼滤波器设计方法。设计方法基本上是基于线性目标动态和线性结构的测量称为伪测量。通过对原始非线性测量值进行代数处理，得到伪测量值。由此产生的过滤器具有计算优势，其他过滤器具有类似的性能。此外，一个变种的贝格模型提出了一个协调转弯机动的假设下的目标加速度模型。所提出的模型与基本假设是一致的。蒙特卡洛计算机仿真结果表明，所提出的次优滤波器与目标加速度模型的有效性。>
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. >