基于认知无线电的脉冲陷波UWB窄带干扰抑制

提出了一种基于认知无线电的自适应超宽带（UWB）窄带干扰抑制方法。为了使UWB对变化的 干扰环境具有自适应调节能力，引入了认知无线电技术。通过频谱感知和认知引擎技术提取 窄带干扰频谱特征作为陷波器的设计依据。以高斯脉冲为例，对陷波器的陷波性能进行检验 。最后，就陷波前、后脉冲的通信性能进行比较。仿真结果表明：认知陷波脉冲具有良 好的窄带干扰抑制能力，能够自适应的随着感知结果而动态地规避授权用户，从而实现UWB 系 统与其它通信系统的共存，且此方法不需要在整个频段范围内降低UWB脉冲功率，实现简单 灵活，为提高UWB脉冲发射功率、增大UWB系统的通信距离提供了一种可行的方案。

UWB Trap Pulse Design Approach for Narrowband Interference Suppression Based on Cognitive Radio

A novel adaptive ultra wideband(UWB) narrowband interference suppressi on method is presented based on cognitive radio(CR) theory. In order to make the UWB has the adaptive adjustment ability as the changed jamming environment,the CR technology is introduced. Through the spectrum sensing and cognitive engine technology, the characteristics of narrowband interference signal is extracted, which is th e rule to design the trap filter. The designed FIR trap filter is confirmed by s imulating with example of the Gaussian pulse. The communication performance of t he pulse and the trapped pulse is compared. The simulation results show that the CR trapped pulse effectively suppresses the narrowband interferences, dynamical ly avoids the authorized users as the sense results and successfully solves the coexistence problem between UWB system and other existing communication systems. Besides, the power spectral density of UWB pulse does not need to be reduced ov er the whole frequency band, and the realization of this method is easy and flex ible. Therefore, it is possible to expand the communication range of UWB systems by increasing the transmitted power of UWB pulse.