Title :
IR-UWB Received Signal Reconstruction Based on Quantized Compressed Sensing
Author :
Qiaoling Zhang ; Shaohua Wu ; Yunhe Li ; Qinyu Zhang
Author_Institution :
Shenzhen Grad. Sch., Harbin Inst. of Technol., Shenzhen, China
Abstract :
Compressed sensing (CS) theory provides a new solution for low-rate sampling design of IR-UWB receiver, but the quantization process is usually idealized in existent CS based sampling architectures. In this paper, the influence of quantization noise is fully considered, and an IR-UWB signal reconstruction method with high anti-noise performance is proposed. Based on the analysis of the noise distribution characteristics, the signal reconstruction optimization model is revised, and then the performance of Dantzig-Selector (DS) method is compared with the traditional algorithms. Further, a Joint DS-SP method which can self-adaptively select the reconstruction algorithms between DS and SP (Subspace Pursuit) is proposed. Simulation results show that the Joint DS-SP method can not only get the best performance under different noise regions and quantization precisions, but also show a computational complexity trade-off between DS and SP, thus provides a new strategy of CS signal reconstruction for the design of IR-UWB receiver´s digital back-end.
Keywords :
compressed sensing; computational complexity; quantisation (signal); radio receivers; signal reconstruction; signal sampling; ultra wideband communication; CS theory; Dantzig-Selector method; IR-UWB receiver; antinoise distribution characteristics; computational complexity; digital back-end; joint DS-SP method; low-rate sampling design; quantization noise; quantized compressed sensing theory; signal reconstruction optimization model; subspace pursuit; Algorithm design and analysis; Compressed sensing; Joints; Noise; Quantization; Signal reconstruction; Thermal noise;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing (WiCOM), 2012 8th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-684-2
DOI :
10.1109/WiCOM.2012.6478554