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Acoustic Positioning and Navigation System for GNSS Denied/Challenged Environments

机译:GNSS拒绝/挑战环境的声学定位和导航系统

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Current navigation sensors mostly rely on electromagnetic signals for getting the position, velocity, and time (PVT) information. But it can be observed that mammals like bats use acoustic waves, mostly ultrasound, for echolocation. Acoustic waves are also used by cetaceans like dolphins and sperm whales for echolocation. This paper investigates the performance of the acoustic positioning and navigation system (APNS). Acoustic sensors have relatively lower cost, size, weight, and power (C-SWAP) and are easy to deploy. Additionally, being based on acoustic signals, this technique is immune to signal-in-space electromagnetic interferences. The attenuation of sound in air is discussed along with potential ranging errors and signal delays. A multistatic arrangement of sensors is discussed in detail, with an optimized arrangement of transmitters in a given test geometry. The transmitters broadcast their respective signals following a Time Division Multiple Access (TDMA) scheme. The receiver position is calculated based on ranging measurements from a minimum of three transmitters. The range is calculated based on the Time of Arrival (TOA) of acoustic waves from the transmitter to the receiver. The transmitters are arranged optimally to minimize Position Dilution of Precision (PDOP) as well as maximizing sensor availability. The error in positioning due to platform dynamics is also discussed. This analysis lead to an optimized arrangement of transmitters, thus supporting subsequent experimental activities.
机译:当前的导航传感器主要依靠电磁信号来获取位置,速度和时间(PVT)信息。但是可以观察到,像蝙蝠这样的哺乳动物使用声波(主要是超声波)进行回声定位。鲸类(如海豚和抹香鲸)也使用声波进行回声定位。本文研究了声学定位和导航系统(APNS)的性能。声学传感器具有相对较低的成本,尺寸,重量和功率(C-SWAP),并且易于部署。另外,基于声音信号,该技术不受空间信号电磁干扰的影响。讨论了空气中声音的衰减以及潜在的测距误差和信号延迟。详细讨论了传感器的多静态布置,并在给定的测试几何结构中优化了变送器的布置。发射机遵循时分多址(TDMA)方案广播其各自的信号。接收器位置是根据至少三个发射器的测距结果计算得出的。该范围是根据从发射机到接收机的声波到达时间(TOA)计算得出的。最佳地安排了变送器的位置,以最大程度地降低精确度位置稀释(PDOP)并最大限度地提高传感器的可用性。还讨论了由于平台动力学导致的定位误差。这种分析导致发射机的优化布置,从而支持后续的实验活动。

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