中文摘要：

为减小压缩感知框架下脉冲超宽带（IR-UWB）信号低速采样接收过程中量化噪声的影响，基于对压缩测量值均等携带信息及高斯分布特性的考虑，设计出了三种有效的改进量化机制：过载均匀量化、非均匀量化和过载非均匀量化。充分考察了过载机制中过载因子的影响因素，拟合得到逼近最优过载的优化方案。仿真结果表明这三种改进机制都比均匀量化有较大的性能提升，尤以过载非均匀量化性能改善最为显著，而过载均匀量化机制以很低的实现复杂度获得了比复杂度颇高的非均匀量化机制更高的性能，为压缩感知框架下的IR-UWB系统提供了一种实用的量化方式。

英文摘要：

To reduce the influence of the quantization noise in the low rate sampling process of impulse radio ultra-wide- band （IR-UWB） signals under the Compressed Sensing （CS） framework, three effective improved quantization mechanisms named overload uniform quantization, non-uniform quantization and overload non-uniform quantization were proposed based upon the consideration of the equal carry information feature and the Gaussian distribution characteristic of the compressed measurements. The influences of overload factors in overload mechanisms were thoroughly investigated, and an optimization scheme for approaching the optimal overload was obtained by the fit- ting. The simulation results verify that the three proposed mechanisms all have obvious performance improvement compared to the uniform quantization mechanism. Especially, the overload non-uniform quantization strategy pro- motes performance most significantly but accompanies a high complexity. Meanwhile, the simplest overload uniform quantization outperforms the relatively complex non-uniform quantization, which provides a very practical quantiza- tion strategy for IR-UWB systems under the CS framework.