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

Sensors

Hailiang Xiong¹  Zhengfeng Du¹  Hongji Xu¹  Wensheng Zhang¹  Huaibin Tang²  Jing Li³ 

[1] School of Information Science and Engineering, Shandong University, Jinan 250100, China;School of Microelectronics, Shandong University, Jinan 250100, China;Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China;

关键词: ultra-wide band;    cognitive radio;    signal to interference and noise ratio;    wireless sensor networks;    interference avoiding;    notch filter;    power spectrum density;    time hopping;    complex-coefficient;    spread spectrum;    bit error ratio;   

DOI  :  10.3390/s17061206

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown