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Accuracy Improvement of SSSD Circular Positioning in Cellular Networks

机译:蜂窝网络中SSSD圆形定位的精度提高

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Location determination of a mobile subscriber (MS) to support location-based services has become an area of highly active research over the past few years. The stationary signal-strength-difference (SSSD)-based positioning technique has been proposed as a cost-effective low-complexity solution. However, its accuracy is limited due to the error in reference distance estimation. This paper contributes a simple and efficient method to minimize the error in the reference distance and consequently reduce the error in MS location determination. The proposed method is based on a standard parameter separation least-square algorithm by following the convergences of the gradient-descent algorithm to determine the MS location. Accuracy evaluation is implemented at 55 different test locations in an urban environment under a commercial cellular network. Experimental results clearly demonstrated that the proposed method performs superior positioning accuracy as compared with our previous works and the trilateration positioning method.
机译:在过去的几年中,支持基于位置的服务的移动用户(MS)的位置确定已成为高度活跃的研究领域。已经提出了基于固定信号强度差(SSSD)的定位技术,作为一种经济高效的低复杂度解决方案。然而,由于参考距离估计中的误差,其准确性受到限制。本文提供了一种简单有效的方法来最大程度地减少参考距离中的误差,从而减少MS位置确定中的误差。所提出的方法基于标准参数分离最小二乘算法,通过遵循梯度下降算法的收敛性来确定MS位置。在商用蜂窝网络下,在城市环境中的55个不同测试位置执行准确性评估。实验结果清楚地表明,与我们以前的工作和三边测量定位方法相比,该方法具有更高的定位精度。

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