Lv Wanghan, Wang Huali, Mu Shanxiang
School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
College of Communications Engineering, PLA University of Science and Technology, Nanjing 210007,China.
Sensors (Basel). 2017 May 6;17(5):1052. doi: 10.3390/s17051052.
As known to us all, it is challenging to monitor wideband signals in frequency domain due to the restriction of hardware. Several practical sampling schemes, such as multicoset sampling and the modulated wideband converter (MWC), have been proposed. In this work, a co-prime array (CA) based modulated wideband converter (MWC) spectrum sensing method is suggested. Our proposed method has the same sampling principle as the MWC but has some advantages compared to MWC. Firstly, CA-based MWC is an array-based MWC system. Each sensor is usually corrupted by independent noise for an array system which can be used for noise averaging, while all channels in conventional MWC have the same receiving noise. Secondly, by incorporating the co-prime array, we can estimate the power spectrum of signal directly employing its second-order statistical properties. Moreover, the system minimal sampling rate can be reduced further because of the reduction of sampling channels. Simulation results show that our method has better performance than traditional methods.
众所周知，由于硬件限制，在频域中监测宽带信号具有挑战性。已经提出了几种实用的采样方案，如多集采样和调制宽带转换器（MWC）。在这项工作中，提出了一种基于互质阵列（CA）的调制宽带转换器（MWC）频谱感知方法。我们提出的方法与MWC具有相同的采样原理，但与MWC相比有一些优点。首先，基于CA的MWC是一种基于阵列的MWC系统。对于可用于噪声平均的阵列系统，每个传感器通常会受到独立噪声的影响，而传统MWC中的所有通道具有相同的接收噪声。其次，通过结合互质阵列，我们可以直接利用信号的二阶统计特性来估计信号的功率谱。此外，由于采样通道的减少，系统的最小采样率可以进一步降低。仿真结果表明，我们的方法比传统方法具有更好的性能。
