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A Novel Complex-Coefficient In-Band Interference Suppression Algorithm for Cognitive Ultra-Wide Band Wireless Sensors
Hailiang Xiong1, Wensheng Zhang2, Hongji Xu3
1School of Information Science and Engineering, Shandong University, Jinan 250100, China. hailiangxiong@gmail.com.
Sensors (Basel, Switzerland)
|June 8, 2017
Summary
This study introduces a new method to eliminate narrow band interference in ultra-wide band (UWB) wireless sensor networks (WSN). The proposed algorithm significantly improves reception performance for UWB systems sharing spectrum resources.
Area of Science:
- Wireless Communication
- Signal Processing
- Sensor Networks
Background:
- Limited spectrum resources necessitate advanced techniques for device coexistence.
- Ultra-wide band (UWB) and cognitive radio (CR) offer solutions for harmonious spectrum sharing.
- In-band interference severely impacts UWB wireless sensor network (WSN) performance.
Purpose of the Study:
- To propose a novel scheme for eliminating in-band narrow band interferences (NBIs) in UWB WSNs.
- To develop an efficient adaptive notch filter and iterative method for interference suppression.
- To present algorithms for handling multiple narrow band interferences in UWB systems.
Main Methods:
- A complex-coefficient adaptive notch filter unit with a single constrained zero-pole pair.
- An adaptive complex-coefficient iterative method using a two-order Taylor series to reduce computational complexity.
- Linear cascaded high order adaptive filter and cyclic cascaded high order matrix adaptive filter (CCHOMAF) algorithms.
Main Results:
- The proposed CCHOMAF algorithm demonstrates superior performance in reducing the average bit error rate for UWB WSNs.
- Theoretical analysis and numerical simulations validate the effectiveness of the proposed interference suppression scheme.
- The scheme significantly enhances the reception performance of low-cost, low-power UWB wireless systems.
Conclusions:
- The novel in-band NBIs elimination scheme effectively addresses interference challenges in UWB WSNs.
- The developed CCHOMAF algorithm offers a robust solution for improving UWB system reliability.
- This research contributes to the advancement of efficient spectrum utilization in wireless communications.
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