A UWB-2PPM Reconstruction Algorithm without a Priori Knowledge of Pilot

Hai Bo Yin; Jun An Yang; Jie Gong; Wei Dong Wang

doi:10.4028/www.scientific.net/AMM.556-562.3545

Paper Titles

Numerical Simulation of Groundwater Flow Based on CUDA
p.3527

The Study of Privacy Preserving Data Mining Technology for Information Security
p.3532

Text Clustering Based on Domain Ontology and Latent Semantic Analysis
p.3536

M/M/1 Queue Model with Uncertain Parameters by Monte Carlo Simulation
p.3541

A UWB-2PPM Reconstruction Algorithm without a Priori Knowledge of Pilot
p.3545

Block Background Subtraction Method Based on ViBe
p.3549

Multiscale Diffusion Entropy Analysis on Traffic Index Series
p.3553

An Algorithm of Network Sensitive Information Features Extracting
p.3558

Dynamic Function Optimization by Improved Artificial Bee Colony Algorithm
p.3562

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562A UWB-2PPM Reconstruction Algorithm without a...

A UWB-2PPM Reconstruction Algorithm without a Priori Knowledge of Pilot

Abstract:

Compressed Sensing is very efficient in reducing the relatively high sampling rate. But when it comes to the channel estimation of uncooperative communication, the common CS reconstruction algorithms seem impractical to implement since a pilot is required, which is difficult for uncooperative communication. In this paper, we combine the sparsity transform dictionary, which is formed by a sequence of delays of the template signal, together with the idea of alternative minimization to improve the traditional CoSaMP algorithm to reconstruct under-sampled UWB-2PPM signal transmitted by unkown complex channel without a knowledge of pilot. The theoretical analysis and simulations show that the proposed algorithm is capable of reconstructing the original transmitted signal without a pilot.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 556-562)

Pages:

3545-3548

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.556-562.3545

Citation:

Cite this paper

Online since:

May 2014

Authors:

Hai Bo Yin*, Jun An Yang, Jie Gong, Wei Dong Wang

Keywords:

Compressed Sensing, Non-Cooperation, Reconstruction Algorithm, UWB

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] GBGL Yang: IEEE Signal Processing Magazine, Vol. 21-6(2004), pp.26-54.

Google Scholar

[2] DL Donoho: IEEE Trans. Inf. Theory, Vol. 52-4(2006), pp.1289-1306.

Google Scholar

[3] CE J, Compressive Sampling , presented at the Proceedings on the International Congress of Mathematicians, Madrid, (2006), pp.1433-1452.

Google Scholar

[4] D. Abhilash, A. Sankar, S. Janakiraman, GR Kiran, RK Sudan, and V. Mekaladevi: Mobile Communication and Power Engineering (2013), pp.115-121.

DOI: 10.1007/978-3-642-35864-7_17

Google Scholar

[5] AGR Paredes JL: IEEE Journal of Selected Topics in Signal Processing, Vol. 1-3(2007), pp.383-395.

Google Scholar

[6] AGR Paredes JL, Wang ZM, Compressed sensing for ultra-wideband impulse radio ( presented at the 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, Honolulu, 2007).

DOI: 10.1109/icassp.2007.366739

Google Scholar

[7] H. C and BRG: Signal Processing, Vol. 59 -4(2011), pp.1505-1517.

Google Scholar