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首页> 外文会议>Information Sciences and Systems, 2009. CISS 2009 >Measurement clustering criteria for localization of multiple transmitters
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Measurement clustering criteria for localization of multiple transmitters

机译：用于多个发射机本地化的测量聚类标准

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We consider the problem of localizing multiple cochannel transmitters belonging to a licensed or primary network using signal strength measurements taken by a group of unlicensed or secondary nodes. Traditional localization techniques can be applied to multiple transmitter localization, provided that: (1) the total number of cochannel transmitters in the system is known, and (2) an appropriate set of clustered measurements is available. In this paper, we present two criteria to determine the total number of cochannel transmitters in the primary system. The first criterion is called the net MMSE criterion, which uses the Cramer-Rao lower bound on localization accuracy. The second criterion is the information theoretic criterion, minimum description length. Both of these criteria lead to measurement clustering algorithms in a natural way. Although we consider only signal strength measurements, the approach can be generalized to include other types of observations (e.g., time and angle information) with independent measurements in additive noise. Our numerical results demonstrate the effectiveness of the proposed approach to measurement clustering.
机译：我们考虑使用一组非授权或辅助节点进行的信号强度测量来对属于一个授权或主要网络的多个同频道发射机进行定位的问题。可以将传统的定位技术应用于多个发射机的定位，前提是：（1）已知系统中同信道发射机的总数，并且（2）可以使用一组适当的群集测量值。在本文中，我们提出了两个标准来确定主系统中同频道发射机的总数。第一个准则称为净MMSE准则，它使用Cramer-Rao定位精度的下限。第二个准则是信息理论准则，即最小描述长度。这两个标准自然导致了度量聚类算法。尽管我们仅考虑信号强度测量，但该方法可以推广到包括其他类型的观测值（例如时间和角度信息），并在附加噪声中进行独立测量。我们的数值结果证明了所提出的测量聚类方法的有效性。

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