RSS-based Location and Transmit Power Estimation of Multiple Co-Channel Targets

E. Zandi, R. Mathar
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引用次数: 3

Abstract

In this paper we consider the problem of multitarget localization using sensor networks, where the received signal strength of targets are measured at sensor nodes and are processed at a fusion node to estimate the location as well as the transmit power of all targets. As we do not consider any kind of division multiplexing, e.g., TDMA or FDMA, targets cause each other co-channel interference. This is a very hard problem, especially because the transmit power of targets can be different. The classical methods in which the power of a single target cancels out by dividing the received power at different sensors, do not apply to our problem, as the received power of each sensor is the superposition of more than one term, each of which corresponding to one target. We tackle the problem by a grid based approach, i.e., discretizing the area, and proposing an adaptive scheme to refine the position of grid points. The proposed algorithms are based on mixed integer optimization approach.
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基于rss的多同信道目标定位与发射功率估计
本文研究了基于传感器网络的多目标定位问题,在传感器节点上测量目标的接收信号强度,并在融合节点上进行处理,估计出所有目标的位置和发射功率。由于我们不考虑任何类型的分复用,例如TDMA或FDMA,目标会导致彼此的共信道干扰。这是一个非常困难的问题,特别是因为目标的发射功率可能不同。传统的方法是通过将不同传感器的接收功率相除来抵消单个目标的功率,但这种方法不适用于我们的问题,因为每个传感器的接收功率是多个项的叠加,每个项对应一个目标。我们通过基于网格的方法来解决这个问题,即离散区域,并提出一种自适应方案来细化网格点的位置。该算法基于混合整数优化方法。
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