Narrowband Interference Issues in Ultra Wideband Systems

Arslan, Hüseyin; Sahin, M.E.

doi:10.1002/9780470042397.ch11

Cited by 3 publications

(3 citation statements)

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“…With more and more communication system and electronic devices going to wireless, the next generation of wireless sensor networks will be confronted with frequency spectral crowding, and coexistence with the pre-existing wireless devices will be one of the most important challenges [1,2,3,4]. Cognitive radio (CR) techniques [2,5,6] and ultra-wide band (UWB) radio communication techniques are considered as a part of the most important solutions for friendly coexistence. In recent years, ultra-wide band (UWB) wireless communication and sensor network technologies have attracted considerable interests in academia and industry [7,8,9,10], due to their promise to provide precision positioning and reliable communication ability at low cost with extremely low energy consumption [11,12].…”

Section: Introductionmentioning

confidence: 99%

A Novel Complex-Coefficient In-Band Interference Suppression Algorithm for Cognitive Ultra-Wide Band Wireless Sensors Networks

Huagang

Zhang

et al. 2017

Sensors

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With the rapid development of wireless communication systems and electronic techniques, the limited frequency spectrum resources are shared with various wireless devices, leading to a crowded and challenging coexistence circumstance. Cognitive radio (CR) and ultra-wide band (UWB), as sophisticated wireless techniques, have been considered as significant solutions to solve the harmonious coexistence issues. UWB wireless sensors can share the spectrum with primary user (PU) systems without harmful interference. The in-band interference of UWB systems should be considered because such interference can severely affect the transmissions of UWB wireless systems. In order to solve the in-band interference issues for UWB wireless sensor networks (WSN), a novel in-band narrow band interferences (NBIs) elimination scheme is proposed in this paper. The proposed narrow band interferences suppression scheme is based on a novel complex-coefficient adaptive notch filter unit with a single constrained zero-pole pair. Moreover, in order to reduce the computation complexity of the proposed scheme, an adaptive complex-coefficient iterative method based on two-order Taylor series is designed. To cope with multiple narrow band interferences, a linear cascaded high order adaptive filter and a cyclic cascaded high order matrix adaptive filter (CCHOMAF) interference suppression algorithm based on the basic adaptive notch filter unit are also presented. The theoretical analysis and numerical simulation results indicate that the proposed CCHOMAF algorithm can achieve better performance in terms of average bit error rate for UWB WSNs. The proposed in-band NBIs elimination scheme can significantly improve the reception performance of low-cost and low-power UWB wireless systems.

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Section: Introductionmentioning

confidence: 99%

A Novel Complex-Coefficient In-Band Interference Suppression Algorithm for Cognitive Ultra-Wide Band Wireless Sensors Networks

Huagang

Zhang

et al. 2017

Sensors

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“…Thus recent researches has been focused on the investigation of coexistence issues related to the UWB technology, assuming that such systems will operate in an environment characterized by the presence of heterogeneous interfering users. The essential component of Ultra Wideband-based Cognitive Network (UWB-CN) is the spectrum sensing in which a cognitive radio user can find only an unused band of the spectrum, so it should closely monitor the whole spectrum bands, note their information, and then detect spectrum holes [4,5].…”

Section: Introductionmentioning

confidence: 99%

A Spectrum Sensing Framework for UWB-Cognitive Network

Kadhim¹,

Jobbar²

2010

WSN

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Due to that the Ultra Wide Band (UWB) technology has some attractive features like robustness to multipath fading, high data rate, low cost and low power consumption, it is widely use to implement cognitive radio network. Intuitively, one of the most important tasks required for cognitive network is the spectrum sensing. A framework for implementing spectrum sensing for UWB-Cognitive Network will be presented in this paper. Since the information about primary licensed users are known to the cognitive radios then the best spectrum sensing scheme for UWB-cognitive network is the matched filter detection scheme. Simulation results verified and demonstrated the using of matched filter spectrum sensing in cognitive radio network with UWB and proved that the bit error rate for this detection scheme can be considered acceptable.

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“…On top of this, security, and limited cost, underlay UWB can employ various narrowband interference . negligible interference to licensed systems, and avoidance methods [3]. In the overlay mode, the transmitted .…”

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confidence: 99%

The Roles of Ultra Wideband in Cognitive Networks

Sahin

Ahmed

Arslan

2007

2007 IEEE International Conference on Ultra-Wideband

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Cognitive radio is a recent concept that is expected When the wireless systems that are potential candidates for to lead wireless communications to a new era. A proper candidate cognitive radio are considered, ultra wideband (UWB) seems for the physical layer implementation of cognitive radio networks to be one of the tempting choices because it has an inherent is ultra wideband (UWB), because UWB is highly competent in .. . satisfying many basic requirements of cognitive radio. Beside p this, UWB can also provide various kinds of supportive uses ments. On top of this, especially impulse radio (IR) based to cognitive radio systems that are realized by means of other UWB offers some extraordinary uses that can add a number of wireless technologies. In this paper, a number of possible roles extra intellective features to cognitive systems. These special that UWB can take in cognitive networks are discussed in detail. uses are brought by the high multipath resolution property, Index Terms-Cognitive radio, cognitive node, impulse radio, which enables UWB to act as an accurate radar, ranging, spectrum sensing, UWB-OFDM. and positioning system. Examples of specific UWB features include sensing the physical environment to enable situation awareness, and providing geographical location information.Cognitive radio is a novel concept for future wireless Owing to all these distinctive properties, UWB is considered as communications, and it has been gaining significant interest one of the enabling technologies for cognitive radio networks among the academia, industry, and regulatory bodies [1]. in this paper. Cognitive radio provides a tempting solution to increasing The organization of the paper is as follows. In Section spectral crowding by introducing the opportunistic usage of II, the primary UWB features are addressed from the point frequency bands that are not heavily occupied by their licensed of satisfying the cognitive radio requirements. Section III users. It proposes to furnish radio systems with awareness, discusses implementation of cognitive radio via UWB. In sensing, adaptation and learning about hardware capabilities, Section IV, the supportive roles that UWB may have in a power, available spectrum, networks, nodes, infrastructures, cognitive network are investigated. Section V concludes the radio channel, interference, and noise temperature, as well paper. as local policies. The primary advantage targeted with these features is to enable the cognitive systems to utilize the II. SUITABILITY OF ULTRA WIDEBAND FOR COGNITIVE available resources such as hardware, power, spectrum, and RADIO network, in the most efficient way, and to provide an optimum Considering the main features of ultra wideband, it is seen communication quality. that there is a strong match between what the cognitive radio An interconnected set of cognitive radio devices that share requires and what UWB offers. In the following, the UWB information is defined as a pure cognitive network [2]. Cog-features will be investigated from the point of ...

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Narrowband Interference Issues in Ultra Wideband Systems

Cited by 3 publications

References 0 publications

A Novel Complex-Coefficient In-Band Interference Suppression Algorithm for Cognitive Ultra-Wide Band Wireless Sensors Networks

A Novel Complex-Coefficient In-Band Interference Suppression Algorithm for Cognitive Ultra-Wide Band Wireless Sensors Networks

A Spectrum Sensing Framework for UWB-Cognitive Network

The Roles of Ultra Wideband in Cognitive Networks

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