认知干扰抑制超宽带自适应脉冲设计

为了解决认知超宽带（UWB）与窄带系统共存的问题，采用双极性高斯脉冲组合信号作为UWB脉冲基函数，使用厄米特矩阵特征向量分解方法实现了认知UWB自适应脉冲设计，从而达到抑制窄带干扰的目的. 仿真结果表明，提出的自适应脉冲序列的功率谱密度分布符合美国联邦通信委员会关于室内和室外UWB应用的频谱规范，可以实现任意频段陷波，具有灵活的认知避免能力. 对UWB跳时脉冲位置调制和跳时脉冲幅度调制系统进行了蒙特卡罗仿真，结果表明，自适应脉冲序列比传统的Scholtz脉冲具有更强的窄带干扰抑制能力和抗多用户干扰能力. 

Cognitive UWB Adaptive Pulse Design for Interference Suppression

Ultra wideband (UWB) systems must coexist with narrow band systems and implement adaptive use of available bandwidth for cognitive UWB radio. To deal with these challenges, a cognitive UWB adaptive pulse design method based on the eigenvectors of Hermite matrix and bipolar Gaussian combined signal is presented for narrow band interference (NBI) suppression. Simulations show that the proposed adaptive UWB pulses met with the federal communications commission indoor and outdoor spectral mask and produced arbitrary spectral notches with flexible cognitive avoid ability. Furthermore, through the Monte Carlo simulation of pulse position modulation time hopping and pulse amplitude modulation time hopping systems, the proposed adaptive UWB pulses are proved to have stronger multi user interference and NBI suppression abilities than Scholtz pulse.