基于负熵的多目标射频信号分离研究

Research of Multi-object RF Signals Separation Based on Negentropy

为了改变在复杂条件下的多目标射频识别技术依靠防冲突算法的现状,引入独立分量分析技术,在射频阅读器信号采集后端,增加混合射频信号分离过程,采用负熵度量非高斯性准则,将空间中混合的射频信号逐一分离,实现多目标射频信号分离。通过实验例证该方法的可行性,取得了较好的分离效果,为多频段、大范围的多目标射频信号识别技术发展提供了思路。

To improve the RFID techology and make it independent of the anti-collision algorithm,a method with ICA is expounded.The algorithm separates each RF signal from multi-object RF signals at the backend of the signal acquisition system in RF reader.Negentropy is an appropriate measure of non-gaussianity of random signal in the mixed model of RF signals.The results of experiment prove the feasibility of this method and indicate that the separation performance is good.This technology can satisfy more multi-object requirements in multi-frequency area on a much larger scale and its application range can be still extended.