摘要
为了在较少模数转换器（ADC）资源下,完成无数据辅助超宽带信号的较好接收,提出了一种基于压缩感知技术和盲信道波形估计的超宽带接收机结构。首先对接收的模拟信号进行随机映射并作低速率采样,接着利用基于最大似然准则的信号子空间压缩方法对基映射的信号进行盲信道波形估计,最后利用匹配跟踪算法解出原信道波形。计算机仿真表明,该方案能够在较少的ADC资源下,达到和传统高采样率接收机相近的性能。
This correspondence deals with the issue on the non-data-aided UWB receiver structure based on reduced ADC resources. To accomplish this purpose, we propose a UWB receiver structure based on compressed sensing and blind waveform estimation. The received analog signal is projected randomly, then it is sampled at a low sample rate. The maximum likelihood criterion and the subspace-compressed algorithm are imposed on the randomly projected signal to accomplish the blind waveform estimation. Then, the final waveform is obtained by the use of match pursuit algorithm. Simulations show that the proposed structure can achieve the performance close to the traditional receiver at much higher sample rate.
出处
《通信对抗》
2009年第3期3-7,共5页
Communication Countermeasures
基金
国家自然科学基金(NSFC60672038)
关键词
超宽带
波形估计
压缩感知
匹配跟踪
最大似然
ultra wideband （UWB）
waveform estimation
compressed seining
matching pursuit
maximum likelihood
