On the modelling of SEU effects on spread spectrum wireless systems

2014 ◽  
Author(s):  
P. Lopez Gonzalez ◽  
V. Baena Lecuyer ◽  
H. Guzman Miranda ◽  
J. Barrientos Rojas ◽  
M. A. Aguirre
Keyword(s):  
Spread Spectrum ◽  
Wireless Systems

scholarly journals Cancellation Techniques for Co-channel Interference in MIMO-OFDM Systems and Evaluating Their Performance

2021 ◽  
Vol 5 (6) ◽  
pp. 824-839
Author(s):  
Varshini Rajesh ◽  
A. R. Abdul Rajak
Keyword(s):  
Fading Channels ◽  
Spread Spectrum ◽  
Interference Cancellation ◽  
Electromagnetic Waves ◽  
Wireless Systems ◽  
Rician Fading ◽  
Ofdm Systems ◽  
Channel Interference ◽  
Mimo Ofdm ◽  
New Generation

In a wireless communication system, the transmitted signal is exposed to various surfaces where it bounces and results in several delayed versions of the same signal at the receiver end. The delayed signals are in the form of electromagnetic waves that are diffracted and reflected from the various object surfaces. These result in co-channel interferences for wireless systems. MIMO has proven to be a striking solution for the new generation of wireless systems. MIMO-OFDM system with QPSK modulation is considered as the wireless system for studying the performance of interference cancellation techniques. The BER performance is studied in channels such as Rayleigh and Rician Fading Channels. The effects of interference are reduced to a certain extent by the inclusion of CDMA (spread spectrum technique) as Technique 1. The effects of interference on this system have been further reduced using the LMS filter as Technique 2. Hence, to show better performance in MIMO-OFDM systems, it is recommended to employ both CDMA and LMS filters to decrease the effects of co-channel interference. It is observed that the parameter BER reduces as the SNR increases for both these channels. Doi: 10.28991/esj-2021-01313 Full Text: PDF

Evaluation of BER in Bluetooth Wireless Systems Disturbed by Radiated Noise from Spread Spectrum Clock Systems

2006 ◽  
Vol E89-B (10) ◽  
pp. 2897-2904
Author(s):  
T. MURAKAMI ◽  
Y. MATSUMOTO ◽  
K. FUJII ◽  
A. SUGIURA
Keyword(s):  
Spread Spectrum ◽  
Wireless Systems ◽  
Radiated Noise

Analisis Karakterisasi Teknologi Direct Sequence Spread Spectrum Dan Frequency Hopping Spread Spectrum

2019 ◽  
Vol 2 (2) ◽  
pp. 129-138
Author(s):  
Fawzan Galib Abdul Karim Bawahab ◽  
Elvan Yuniarti ◽  
Edi Kurniawan
Keyword(s):  
Spread Spectrum ◽  
Communication Systems ◽  
Multiple Access ◽  
Frequency Hopping ◽  
Direct Sequence Spread Spectrum ◽  
Direct Sequence ◽  
Frequency Hopping Spread Spectrum ◽  
Two Systems ◽  
The Difference

Abstrak. Pada penelitian ini, telah dilakukan analisa karakterisasi pada teknologi Direct Sequence Spread Spectrum dan Frequency Hopping Spread Spectrum, sebagai salah satu teknik multiple-access pada sistem komunikasi. Karakterisasi dilakukan untuk mencari bagaimana cara meningkatkan keoptimalan kedua sistem tersebut, dalam mengatasi masalah interferensi dengan sistem dan channel yang sama. Dan juga untuk menentukan veriabel apa yang mempengaruhi keoptimalan kedua sistem tersebut. Karakterisasi dilakukan dengan menentukan variabel-variabel yang mempengaruhi keoptimalan keduanya. Hasil dari karakterisasi, diketahui variabel-variabel yang mempengaruhi kemampuan sistem DSSS yaitu nilai frekuensi spreading (). Sedangkan untuk sistem FHSS yaitu nilai frekuensi spreading ( dan ) dan selisih antara frekuensi hopping data dengan frekuensi hopping interferensi . Kata Kunci: BER, DSSS, FHSS, Interference, Spread spectrum. Abstract. In this study, characterization of Direct Sequence Spread Spectrum and Frequency Hopping Spread Spectrum technologies have been done, as one of the multiple-access techniques in communication systems. Characterization is done to find out how to improve the ability of the two systems, in solving interference problems with the same system and channel. And also to determine what veriabel affects the ability of the two systems. Characterization is done by determining the variables that affect the ability of both. The results of the characterization, known variables that affect the ability of the DSSS system are the spreading frequency value (). As for the FHSS system, the spreading frequency value ( and ) and the difference between frequency hopping data with frequency hopping interference .

Performance Evaluation of OFDM Wireless Systems using CAZAC Equalization

2018 ◽  
Vol 138 (3) ◽  
pp. 204-209
Author(s):  
Yushi Shirato ◽  
Ryota Ishioka ◽  
Masahiro Muraguchi
Keyword(s):  
Performance Evaluation ◽  
Wireless Systems
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