Wide-Area Multistatic Sonar Tracking

S. Coraluppi, C. Carthel, R. Prengaman
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引用次数: 1

Abstract

Sensors with poor bearing resolution pose a significant challenge for multi-target tracking, as cross-range error becomes very large at long ranges. While multi-sensor fusion provides benefit towards higher-precision tracking, there are two key difficulties to confront. The first is to address measurement association ambiguities, which we address via advanced multiple-hypothesis tracking. The second is to perform robust track initialization and filtering, which we achieve via a two-point filter initialization approach followed by (sequential) extended Kalman filtering. In the specific context of active sonar tracking, the impact of finite sound speed poses an additional challenge. Addressing this requires a generalized MHT solution that accounts for measurement-specific time stamps and allows for out-of-sequence measurement processing. The enhancements discussed in this paper yield a robust capability for wide-area multistatic sonar tracking.
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广域多声纳跟踪
低方位分辨率的传感器对多目标跟踪提出了严峻的挑战,因为在远距离下,传感器的跨距误差会变得非常大。虽然多传感器融合为高精度跟踪提供了好处,但存在两个关键困难。首先是解决测量关联的模糊性,我们通过先进的多假设跟踪来解决这个问题。其次是执行鲁棒轨迹初始化和滤波,我们通过两点滤波器初始化方法和(顺序)扩展卡尔曼滤波来实现。在主动声纳跟踪的特定环境中,有限声速的影响带来了额外的挑战。解决这个问题需要一个通用的MHT解决方案,该解决方案考虑特定于测量的时间戳,并允许乱序测量处理。本文所讨论的改进使其具有强大的广域多声纳跟踪能力。
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