Design of hybrid long integration in Geo-location in presence of CCI

Seung-Hun Song, Ji-Won Park, T. Sung
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Abstract

Due to cell planning in a cellular communication network, it is difficult for a mobile user in a cell to get ranging measurements from other neighboring cells. Consequently, it is necessary to enhance signal sensitivity using long integration techniques so that the user position is obtained by trilateration. In order to maximize integration gain in coherent/noncoherent hybrid long integration, it is desirable to make SNR (signal to noise ratio) after coherent integration become as large as possible. Because SIR (signal to interference ratio) is not improved by the long integration, however, it is needed to mitigate CCI (Co-Channel Interference) so that the resultant hearability can be enhanced for weak signals. This paper presents a hybrid long integration scheme in presence of CCI. SNIR (signal to noise plus interference ratio) is employed to explain the loss induced by interference as well as noise. Together with interference cancellation and residual frequency estimation technique, design procedure of hybrid long integration is proposed to maximize SNIR. Simulation results show that hearability is greatly improved at most of cell coverage when the proposed method is used.
存在CCI的地理定位混合长集成设计
由于蜂窝通信网络中的蜂窝规划问题,蜂窝内的移动用户很难获得相邻蜂窝的测距数据。因此,有必要使用长积分技术提高信号灵敏度,以便通过三边测量获得用户位置。为了使相干/非相干混合长积分的积分增益最大化,需要使相干积分后的信噪比(SNR)尽可能大。然而,由于长时间集成不能提高SIR(信干扰比),因此需要减轻同信道干扰(CCI),从而增强弱信号的可听性。提出了一种基于CCI的混合长积分方案。SNIR(信噪比加干扰比)用来解释由干扰和噪声引起的损耗。结合干扰消除和剩余频率估计技术,提出了混合长积分的设计方法,使信噪比最大化。仿真结果表明,该方法在大部分小区覆盖范围内的可听性都有很大提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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