NDLI: Training Sequence Design for NBI Mitigation in Compressive Sensing UWB Systems

Content Provider	Springer Nature Link
Author	Muqaibel, Ali H. Alawsh, Saleh A.
Copyright Year	2014
Abstract	Ultra wideband (UWB) is a promising technology in delivering high data rate for short range wireless communication systems. Because of their large bandwidth, UWB signals may encounter some problems especially with high sampling rate requirements. Moreover, coherence existence with other narrowband systems is a major concern which needs to be addressed through proper mechanisms. The problem becomes so complex if multiple users exist. Since narrowband interference (NBI) signals have sparse representation in the discrete cosine transform (DCT) domain, they can be estimated and suppressed using Compressive Sensing (CS). CS also has the ability to reduce the high sampling rate requirements. For training based NBI mitigation with CS, three groups of pilot symbols are used to estimate the NBI signal subspace, the UWB signal subspace, and to provide information about the channel. In this paper, the distribution of pilot symbols among the three groups is investigated in the presence of strong NBI. The investigation is based on the bit error rate performance and throughput. The influence of each pilot symbols group is studied. The performance is also evaluated in the presence of multiuser interference in addition to the NBI. Simulation results show that the size of the third group of pilot symbols which is used to estimate the channel is the most dominant one.
Starting Page	1539
Ending Page	1554
Page Count	16
File Format	PDF
ISSN	09296212
Journal	Wireless Personal Communications
Volume Number	78
Issue Number	2
e-ISSN	1572834X
Language	English
Publisher	Springer US
Publisher Date	2014-05-25
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Compressive sensing Discrete cosine transform Narrowband interference Ultra-wideband Communications Engineering, Networks Signal, Image and Speech Processing Computer Communication Networks
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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