| 利用人工神经网络的RSSI测距优化技术研究 |
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| 引用本文： | 贲伟,王敬东.利用人工神经网络的RSSI测距优化技术研究[J].价值工程,2012,31(11):164-166. |
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| 作者姓名： | 贲伟 王敬东 |
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| 作者单位： | 南京航空航天大学自动化学院,南京,210016 |
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| 基金项目： | 江苏省重点实验室开放基金，南京航空航天大学2010年研究生科技创新基金 |
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| 摘 要： | 基于RSS(I接收信号强度指示)的测距技术是一项低成本和低复杂度的距离测量技术,被广泛应用于基于测距的无线传感器网络的定位技术中。由于室内环境中存在非视距和多径传输的影响,测距误差比较大。针对这个问题,本文提出了一种递推平均滤波和高斯模型相结合的R值筛选策略以及一种利用人工神经网络的距离估计方法。实验表明:通过合理的R值筛选策略和距离估计算法,RSSI测距的精度和抗干扰能力得到了明显的提高。
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| 关 键 词： | RSSI 高斯模型 人工神经网络 |
Study of RSSI Ranging Optimization Techniques by Using Artificial Neural Networks |
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| Ben Wei
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Wang Jingdong.Study of RSSI Ranging Optimization Techniques by Using Artificial Neural Networks[J].Value Engineering,2012,31(11):164-166. |
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| Authors: | Ben Wei Wang Jingdong |
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| Institution: | Ben Wei;Wang Jingdong(College of Automation Engineering,Nanjing University of Aeronautics & Astronautics,Nanjing 210016,China) |
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| Abstract: | Ranging technology based on RSSI(received signal strength indication) is a distance measurement technique with the features of low cost and low complexity.It is widely used in indoor wireless location.Ranging error is relatively large with the impact of NLOS indoor and multipath transmission.For this reason this paper presents a screening strategy,which successfully combined recursive average filter and Gaussian models.A measuring method of artificial neural network distance has been proposed as well.According to the result of the Experiments,RSSI ranging accuracy and anti-jamming capability have been significantly improved by this method. |
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| Keywords: | RSSI Gaussian models artificial neural networks |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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