Single sensor radio scene analysis for packet based radio signals
Single sensor radio scene analysis for packet based radio signals
复制标题
基于数据包的无线电信号的单传感器无线电场景分析
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
I. Seskar
中科院分区：
文献类型：
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作者：
Goran Ivkovic;P. Spasojevic;I. Seskar
我们考虑的RF信号分析的问题，其中一个感测节点观察可能由多个基于分组的无线电发射机使用的频带。接收信号的分析包括两个步骤。在第一步中，我们使用频谱图来执行所接收的分段统计均匀信号的时间分割。这个任务被制定为一个聚类问题。在第二步中，我们为第一步中找到的每个片段计算四阶谱的某个2-D切片。四阶谱切片以三路阵列布置。第二步的关键思想是利用三路阵列的低秩分解的唯一性来恢复接收信号中各个分量的频谱和相关活动序列。我们推导出一个数值算法的低秩分解，计算估计的光谱和活动序列，通过优化加权最小二乘准则下的应用程序的特定约束。该方法与仿真的例子，涉及在802.11 a/B/g和蓝牙网络中使用的信号。该算法可作为一种频谱分析工具，为有效利用无线电频谱和消除共存系统间的相互干扰提供重要信息。
We consider the problem of RF signal analysis where one sensing node observes a frequency band possibly used by multiple packet based radio transmitters. Analysis of the received signal consists of two steps. In the first step we use spectrogram to perform temporal segmentation of the received piecewise statistically homogeneous signal. This task is formulated as a clustering problem. In the second step we compute a certain 2-D slice of the fourth order spectrum for each of the segments found in the first step. The fourth order spectrum slices are arranged in a three-way array. Key idea of the second step is to use uniqueness properties of the low rank decomposition of the three-way array to recover spectra and associated activity sequences of individual components in the received signal. We derive a numerical algorithm for the low rank decomposition, which computes estimates of the spectra and activity sequences by optimizing a weighted least squares criterion under application specific constraints. The approach is illustrated with simulation examples involving signals used in 802.11a/b/g and Bluetooth networks. The proposed algorithm can be used as a spectrum analysis tool, providing crucial information needed for achieving efficient utilization of radio spectrum and elimination of mutual interference between the coexisting systems.