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首页> 外文期刊>Journal of signal processing systems for signal, image, and video technology >A Noise-Robust Convex-Optimized Positioning System Based on Code-Aided RSS Estimation and Virtual Base Station Transform
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A Noise-Robust Convex-Optimized Positioning System Based on Code-Aided RSS Estimation and Virtual Base Station Transform

机译：基于代码辅助RSS估计和虚拟基站变换的鲁棒凸优化定位系统

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摘要

This paper presents a noise-robust mobile positioning system based on received signal strength (RSS) estimators, particle filters and a convex optimization processor. The positioning system uses a code-aided noise cancellation technique to refine the (RSS) signals and improve the positioning accuracy. This study also presents a virtual base-station transform (VBST) and convex optimization algorithm to deal with the none-light-of-sight (NLOS) travelling problem of the microwave transmission. The proposed positioning processor consists of four code-aided SNR/RSS estimators and four latency-reduced particle filters to refine the RSS signals from four base stations and estimate their distances to the mobile station. Then, the estimated distances are delivered to a convex optimization processor with the VBST algorithm to locate the mobile station. This work implemented the positioning algorithm on Xilinx Virtex-4 FPGA and RF modules to verify the positioning performance. The measurement and analysis results show that the proposed convex-optimized positioning system reduces 20 % RMSE in the mixed NLOS/LOS environment compared to the sole particle filtering approach. The RSS estimator can further improve the positioning performance in the noisy environments.
机译：本文提出了一种基于接收信号强度（RSS）估计器，粒子滤波器和凸优化处理器的鲁棒移动定位系统。定位系统使用代码辅助噪声消除技术来精炼（RSS）信号并提高定位精度。这项研究还提出了虚拟基站变换（VBST）和凸优化算法，以解决微波传输的非视距（NLOS）传播问题。所提出的定位处理器由四个代码辅助SNR / RSS估计器和四个减少等待时间的粒子滤波器组成，以精炼来自四个基站的RSS信号并估计它们到移动站的距离。然后，将估计的距离通过VBST算法传递给凸优化处理器，以定位移动台。这项工作在Xilinx Virtex-4 FPGA和RF模块上实现了定位算法，以验证定位性能。测量和分析结果表明，与唯一的粒子滤波方法相比，所提出的凸优化定位系统在混合NLOS / LOS环境下可将RMSE降低20％。 RSS估计器可以进一步改善在嘈杂环境中的定位性能。

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