Robust Localization Algorithm Based on the RSSI Ranging Scope
Robust Localization Algorithm Based on the RSSI Ranging Scope
复制标题
基于RSSI测距范围的鲁棒定位算法
DOI：
10.1155/2015/587318
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发表时间：
2015-01-01
影响因子：
2.3
通讯作者：
Peng, Miao
中科院分区：
文献类型：
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作者：
Huang, Yan;Zheng, Jianying;Peng, Miao
无线信号在传播过程中容易受到环境的影响。为了保证基于接收信号强度指标(RSSI)的测距精度，信号传播模型是最适合当前室内环境的模型。本文提出了一种基于RSSI测距范围的稳健定位算法，有效地消除了在信号传播模型中使用固定参数所引起的RSSI测距误差。我们在这篇论文中的贡献是双重的。首先，在无线信号传播模型范围内，详细讨论了RSSI测距误差对定位精度的影响。其次，提出了一种稳健的定位算法，该算法根据信号传播模型中路径损耗指数的取值范围，在RSSI值和距离范围之间建立一一映射。仿真结果表明，在真实路径损耗指数难以准确测量的情况下，基于RSSI测距范围的定位算法在不同的环境下具有较好的鲁棒性。
Wireless signal can be easily influenced by the environment in the propagation process. The signal propagation model is the most appropriate model for current indoor environment to ensure the ranging accuracy based on received signal strength indicator (RSSI). In this paper, we propose a robust localization algorithm based on the RSSI ranging scope by which the RSSI ranging error caused by using a fixed parameter in signal propagation model is dramatically eliminated. Our contributions in this paper are twofold. First, the influence of RSSI ranging error on positioning accuracy is well discussed in detail in the scope of the wireless signal propagation model. Second, we develop a robust localization algorithm which creates a one-to-one mapping between the RSSI value and the distance scope based on the value scope of path loss exponent in the signal propagation model. Simulation results indicate that the proposed localization algorithm based on the RSSI ranging scope is robust under different environments, when the real path loss exponent is difficult to measure accurately.