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引用次数: 0
摘要
本文的主要目的是提出一种不同的室内定位指纹方法，我们将其命名为角度指纹。传统的指纹识别方法通常采用RSSI (Received Signal Strength Indicator)，但由于人的存在和移动等行为的影响，指纹识别往往不准确。然而，接收信号强度(RSS)衰减几乎不会影响多天线的角度测量。本文首先介绍了角度指纹的概念。然后，讨论了利用传统的最小欧几里得距离法(MED)识别角度指纹时可能出现的边界畸变问题。本文提出了一种改进的定位方案——网格锁定(GL)。仿真结果表明，与传统MED相比，GL的精度提高了20%左右。
Angle fingerprint: A database-driven method for indoor localization
The main purpose of this paper is to propose a different fingerprint method for indoor localization, which we named angle fingerprint. Received Signal Strength Indicator (RSSI) is always used for traditional fingerprint method, which is often inaccurate resulting from human behavior, such as human presence and movement. However, Received Signal Strength (RSS) fading and attenuation will almost not affect angle measurement utilizing multi-antenna. In this paper, firstly we introduce the idea of angle fingerprint. Then, we discuss the border distortion appearing in angle fingerprint, which may introduce inaccuracy if utilizing traditional minimum Euclidean distance method (MED). An improved localization scheme, grid lock (GL), is proposed in the following part. Related simulation shows that the accuracy of GL improves about 20% compared to traditional MED.
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