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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.
In order to solve the coexistence problem of UWB and narrowband system, a bipolar Gaussian pulse combined signal is used as a UWB pulse basis function, and a Hermitian matrix eigenvector decomposition method is used to realize the cognitive UWB adaptive pulse design. And the purpose of suppressing the narrowband interference is achieved.The simulation results show that the power spectral density distribution of the proposed adaptive pulse sequence conforms to the US Federal Communications Commission’s spectrum specification for indoor and outdoor UWB applications and can realize notching at any frequency band with flexible cognitive avoidance Ability.The Monte Carlo simulation of UWB time-of-flight pulse position modulation and time-of-flight pulse amplitude modulation system shows that the adaptive pulse sequence has more narrow-band interference rejection and multi-user interference resistance than the traditional Scholtz pulse.