IR-UWB Wireless Communication Receiving System Based On Compressive Sensing

IR-UWB wireless communication system and compressive sensing technique are hot research topics nowadays. In this paper, compressive sensing is applied to IR-UWB wireless communication system in order to reduce the sampling rate of receivers. This paper is supported by national natural science foundation of China and national major special science and technology project of China, and it also has important theoretical and practical value.Based on the in-depth analysis of the principles of IR-UWB wireless communication system and the theoretical framework of compressive sensing, this paper analyzes the sparseness of IR-UWB signals and the reconstruction of the signals in theory with and without noise respectively. Then a low sampling rate digital receiver scheme is designed, which adopts normalized random Gaussian measurement matrix and can reduce the sampling rate of analog-to-digital converter. Meanwhile, compared with the traditional receivers, the digital receiver scheme proposed in this paper has better performance. Simulation and analysis shows the scheme can receive signal with a lower sampling rate. In non-noisy channels, an IR-UWB signal with 1% sparsity can be exactly reconstructed with just 0.08 times Nyquist sampling rate. And in noisy channels, the system has a certain anti-noise ability and can exactly denoise and reconstruct the signal by designing an appropriate regularization parameter.The result of this paper verifies the advantages and feasibility of IR-UWB wireless communication system by using compressive sensing. And this paper lays a good foundation for the further research about the IR-UWB wireless communication receiving system.