极端宽带(UWB ) 要求的高速度的高分辨率的 analog-to-digital (A/D ) 变换信号处理是一个很挑战性的问题。这份报纸为 UWB 信号获得建议一个平行随机的设计方法。建议方法能完成高采样率,高决定和硬件实现的技术可行性。在建议方法,一个模拟 UWB 信号在一套随机的符号函数上被投射。然后,低率的高分辨率的 analog-to-digital 变流器(模数转换器) 被用来取样设计系数。信号能被简单线性计算与采样矩阵重建,没有遵循优化算法和优先的知识。在另外的方面,不同其它走近那需要在极其高的频率利用精确时间移动,或设计一个混合过滤器银行,或与优先的知识为信号产生特定的基础功能或工作,建议方法是一条通用采样途径并且对容易适用。到噪音比率(SNR ) 和假免费的动态范围(SFDR ) 的信号的模拟结果为 UWB 信号获得验证建议方法的效率。
High-speed high-resolution analog-to-digital (A/D) conversion demanded by ultra wideband (UWB) signal processing is a very challenging problem. This paper proposes a parallel random projection method for UWB signal acquisition. The proposed method can achieve high sampling rate, high resolution and technical feasibility of hardware implementation. In the proposed method, an analog UWB signal is projected over a set of random sign functions. Then the low-rate high-resolution analog-to-digital convertors (ADCs) are used to sample the projection coefficients. The signal can be reconstructed by simple linear calculation with the sampling matrix, without complying with optimization algorithm and prior knowledge. In other aspects, unlike other approaches that need to utilize an accurate time-shift at extremely high frequency, or design a hybrid filter bank, or generate specific basis functions or work for signals with prior knowledge, the proposed method is a universal sampling approach and easy to apply. The simulation results of signal to noise ratio (SNR) and spurious-free dynamic range (SFDR) validate the efficiency of the proposed method for UWB signal acquisition.