Radar tracking for air surveillance in a stressful environment using a fuzzy-gain filter
Radar tracking for air surveillance in a stressful environment using a fuzzy-gain filter
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DOI：
10.1109/91.554452
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发表时间：
1997-02
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影响因子：
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通讯作者：
Keith C. C. Chan-Keith-C.-C.-Chan-145003399;V. Lee;H. Leung
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文献类型：
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作者：
Keith C. C. Chan-Keith-C.-C.-Chan-145003399;V. Lee;H. Leung
我们提出了一种模糊增益滤波器用于目标在压力环境下的跟踪，其中目标可能以非均匀速率加速，也可能在短时间内完成急转弯。此外，即使在转弯期间，目标也可能在连续扫描中丢失，并且其位置可能被错误地检测到。所提出的跟踪器通过使用一组模糊if-then规则将模糊逻辑集成到传统的/spl alpha/-/spl beta/滤波器中。给定最后一次预测的误差和误差变化，这些规则用于确定/spl alpha/和/spl beta/的大小。该跟踪器的优点是不需要对过程、测量噪声和目标动力学的统计模型进行任何假设。此外，即使在跟踪机动目标时也不需要机动探测器。使用F-18和其他战斗机产生的真实雷达跟踪数据对模糊跟踪器的性能进行了评估，这些数据由加拿大和美国国防部联合收集。与传统的基于两级卡尔曼滤波的跟踪算法相比，该算法在预测精度和最小化航迹损失的能力方面都有更好的性能。
We present a fuzzy-gain filter for target tracking in a stressful environment where a target may accelerate at nonuniform rates and may also complete sharp turns within a short time period. Furthermore, the target may be missing from successive scans even during the turns, and its positions may be detected erroneously. The proposed tracker incorporates fuzzy logic in a conventional /spl alpha/-/spl beta/ filter by the use of a set of fuzzy if-then rules. Given the error and change of error in the last prediction, these rules are used to determine the magnitude of /spl alpha/ and /spl beta/. The proposed tracker has the advantage that it does not require any assumption of statistical models of process and measurement noise and of target dynamics. Furthermore, it does not need a maneuver detector even when tracking maneuvering targets. The performance of the fuzzy tracker is evaluated using real radar tracking data generated from F-18 and other fighters, collected jointly by the defense departments of Canada and the United States. When compared against that of a conventional tracking algorithm based on a two-stage Kalman filter, its performance is found to be better both in terms of prediction accuracy and the ability to minimize the number of track losses.