采用张量方法的盲干扰抑制及信源恢复技术

Blind jamming cancellation and signal recovery technique using tensor method

针对多输入多输出系统受到有意干扰情况下的盲干扰抑制和信源恢复问题,提出一种双阵列天线接收机结构,通过差分处理,在不考虑独立性的条件下实现盲干扰抑制。消除干扰后的数据有明显的张量切片特征,将其堆积成三阶张量,并通过基于张量分解的方法不经信道估计直接恢复源信号,相较于传统基于信道估计的信源恢复方法大大降低信道估计误差的影响,提高恢复精度。仿真结果表明,所提方法较传统基于训练序列进行信道估计的方法能以更小的训练开销达到更优的信号恢复性能。

To achieve the blind jamming cancellation and signal recovery under MIMO(multiple-input multiple-output) system with intended jamming attacks, a structure of dual-array-antenna receiver was proposed to achieve the blind jamming cancellation without the consideration of the correlation between jamming and the transmitted signal. Data free of jamming have an obvious characteristic of tensor slice. They were stacked into a 3-order tensor and then the CP decomposition was performed to recover the original signal directly without channel estimation. Compared with the traditional method based on channel estimation,the tensor-based algorithm can avoid the error caused by channel estimation,which can largely improve the recovery precision. Simulation results show that the tensor-based method achieves better recovery performance with less training overhead than the traditional training sequence based channel estimation method.