DocumentCode :
682472
Title :
Multi-receiver system for improved signal reception in spectrum monitoring
Author :
Markom, Marni Azira ; Adom, Abdul Hamid ; Mohd Muslim Tan, Erdy Sulino ; Sha´ameri, Ahmad Zuri
Author_Institution :
Sch. of Mechatron. Eng., Univ. Malaysia Perlis, Ulu Pauh, Malaysia
fYear :
2013
fDate :
25-27 Nov. 2013
Firstpage :
35
Lastpage :
39
Abstract :
In the communications field, many methods have been introduced in order to improve the quality of signal reception. This is because various parameters can limit the quality of signal reception such as multipath fading and interference that results the signal with low signal-to-noise ratio (SNR) or no signal reception. This paper presents a multi-receiver system to improve signal reception and classification accuracy in radio communication system. Three receivers were utilized and each consists of antenna system, radio frequency (RF) front-end and down-conversion, time-frequency analysis, parameter estimation and signal classification. Then, the signal classification results are combined to obtain the final decision which is implemented using triple modulo redundancy (TMR) majority voting algorithm. The system was tested using six modulation signals (ASK1, ASK2, ASK3, FSK1, FSK2 and FSK3) with 100 trials for SNR from 2dB to 20dB. The performance of single-receiver and multi-receiver system is compared in terms of classification accuracy. Results show that the multi-receiver system was able to achieve 80 percent accuracy at minimum SNR of 2dB and the accuracy increases as the SNR increased.
Keywords :
amplitude shift keying; frequency shift keying; radio receivers; receiving antennas; signal classification; time-frequency analysis; ASK2; ASK3; ASKI; FSK2; FSK3; FSKI; RF down-conversion; SNR; TMR; antenna system; interference; modulation signal; multipath fading; multireceiver system; parameter estimation; radio communication system; radio frequency front-end; signal classification; signal reception quality; signal-to-noise ratio; spectrum monitoring; time-frequency analysis; triple modulo redundancy; voting algorithm; Accuracy; Estimation; Frequency shift keying; Monitoring; Niobium; Reliability; Signal to noise ratio; Multi sensor data fusion; improved signal reception and signal monitoring; multi-receiver system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics, Biomimetics, and Intelligent Computational Systems (ROBIONETICS), 2013 IEEE International Conference on
Conference_Location :
Jogjakarta
Print_ISBN :
978-1-4799-1206-3
Type :
conf
DOI :
10.1109/ROBIONETICS.2013.6743574
Filename :
6743574
Link To Document :
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