Impulse Radio UWB Signal Detection Based on Compressed Sensing


The extremely high sampling rate is a challenge for ultra-wideband (UWB) communication. In this paper, we study the compressed sensing (CS) based impulse radio UWB (IR-UWB) signal detection and propose an IR-UWB signal detection algorithm based on compressive sampling matching pursuit (CoSaMP). The proposed algorithm relies on the fact that UWB received signal is sparse in the time domain. The new algorithm can significantly reduce the sampling rate required by the detection and provides a better performance in case of the low signal-to-noise ratio when comparing with the existing matching pursuit (MP) based detection algorithm. Simulation results demonstrate the effectiveness of the proposed algorithm.

Share and Cite:

Zhu, X. , Li, Y. , Liu, X. , Zou, T. and Chen, B. (2013) Impulse Radio UWB Signal Detection Based on Compressed Sensing. Communications and Network, 5, 98-102. doi: 10.4236/cn.2013.53B2019.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] M. D. Benedetto and G. Giancola, “Understanding Ultra Wide Band Radio Fundamentals,” Upper Saddle River, NJ: Prentice Hall, 2004.
[2] G. Shi, J. Lin, X. Chen, et al., “UWB Echo Signal Detection with Ultra-low Rate Sampling based on Compressed Sensing,” IEEE Transactions on Circuits and Systems, Vol. 55, No. 4, 2008, pp. 379-383. doi:10.1109/TCSII.2008.918988
[3] M. A. Davenport, M. B. Wakin and R. G. Baraniuk, “Detection and Estimation with Compressive Measurements,” Elect. Comput. Eng. Dept., Rice University, Houston, Tx, 2006, Tech. Rep. TREE0610.
[4] J. Haupt and R. Nowak, “Compressive Sampling for Signal Detection,” in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), Honolulu, HI, April 2007, pp. 1509-1512.
[5] M. F. Duarte, M. A. Davenport, M. B. Wakin and R. G. Baraniuk, “Sparse Signal Detection from Incoherent ProJections,” in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), Toulouse, France, May 2006, pp. 305-308.
[6] J. L. Paredes, G. R. Arce and Z. Wang, “Ultra-wideband Compressed Sensing: Channel Estimation,” IEEE J. Select. Topics Signal Process., Vol. 1, No. 3, pp. 383-395, 2007.
[7] Z. Wang, G. R. Arce, J. L. Paredes and B. M. Sadler, “Compressed Detection for Ultra-wideband Impulse Radio,” in Proc. of 8th IEEE Int. Workshop SPAWC, June 2007, pp. 1-5.
[8] D. Needell and J. A. Tropp, “CoSaMP: Iterative Signal Recovery from Incomplete and Inaccurate Samples,” Applications and Computational Harmonic Analysis, Vol. 26, No. 3, 2009, pp. 301-321. doi:10.1016/j.acha.2008.07.002
[9] L. Jiao, S. Yang, F. Liu, and B. Hou, “Development and prospect of compressive sensing,” Acta Electronia Sinica, Vol. 39, No. 7, 2011, pp.1651-1662.
[10] P. Zhang, Z. Hu, R. C. Qiu and B. M. Sadler, “A Compressed Sensing Based Ultra-wideband Communication System,” in Proc. IEEE Int. Conf. Communications (ICC), Dresden, Germany, June 2009, pp. 1-5.
[11] E. C. Kim, S. Park, J. S. Cha and J. Y. Kim, “Improved Performance of UWB System for Wireless Body Area Networks,” IEEE Transactions on Consumer Electronics, Vol. 56, No. 3, 2010, pp. 1373-1379. doi:10.1109/TCE.2010.5606272
[12] L. Shi, “Applied Research on Compressed Sensing for Ultra Wideband Channel Estimation,” Ph.D. Thesis, Beijing University of Posts and Telecommunications, 2011.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.