Compressive Sampling and Rapid Reconstruction of Broadband Frequency Hopping Signals with Interference

2014 ◽  
Vol 34 (5) ◽  
pp. 1535-1547
Author(s):  
Li-xin Wang ◽  
Bin-ze Zhang ◽  
Yi-zhi Zhao
Keyword(s):  
Frequency Hopping ◽  
Compressive Sampling ◽  
Broadband Frequency

scholarly journals Jamming Detection in Broadband Frequency Hopping Systems Based on Multi-Segment Signals Spectrum Clustering

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 29980-29992
Author(s):  
Hao Xu ◽  
Yufan Cheng ◽  
Pengyu Wang
Keyword(s):  
Frequency Hopping ◽  
Jamming Detection ◽  
Broadband Frequency

Compressive Sampling for Detection of Frequency-Hopping Spread Spectrum Signals

2016 ◽  
Vol 64 (21) ◽  
pp. 5513-5524 ◽  
Author(s):  
Feng Liu ◽  
Michael W. Marcellin ◽  
Nathan A. Goodman ◽  
Ali Bilgin
Keyword(s):  
Spread Spectrum ◽  
Frequency Hopping ◽  
Compressive Sampling ◽  
Frequency Hopping Spread Spectrum ◽  
Spread Spectrum Signals

scholarly journals Software-defined-radio-assisted adaptive broadband frequency hopping multicarrier DS-CDMA

2002 ◽  
Vol 40 (3) ◽  
pp. 174-183 ◽  
Author(s):  
Lie-Liang Yang ◽  
L. Hanzo
Keyword(s):  
Software Defined Radio ◽  
Frequency Hopping ◽  
Broadband Frequency

Blind Detection of Frequency Hopping Signal Using Numeral Characteristics of Compressive Samplings

2014 ◽  
Vol 950 ◽  
pp. 227-232 ◽  
Author(s):  
Chun Lei Zhang ◽  
Li Chun Li
Keyword(s):  
Detection Method ◽  
Frequency Hopping ◽  
Compressive Sampling ◽  
Sparse Signal ◽  
Blind Detection ◽  
Computation Complexity ◽  
Huge Data ◽  
Sparse Signal Processing ◽  
Environment Simulation ◽  
Simulation Results

In order to detect the Frequency-Hopping signal in the condition of non-cooperation and overcome the bottleneck of huge data processing, a blind detection method using numeral characteristics of compressive samplings is proposed. First the different numeral characteristic of compressive sampling under different hypothesis is analyzed, and then this characteristic is used to detect the presence of Frequency-Hopping signal in white noise environment. Simulation results show that this algorithm can effectively detect the Frequency-Hopping signal when is higher than 8dB. This algorithm is lower in computation complexity, and can be an inspiration of real-time sparse signal processing.

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 .

A Class of Optimal One-Coincidence Frequency-Hopping Sequence Sets with Composite Length

2017 ◽  
Vol E100.A (11) ◽  
pp. 2528-2533 ◽  
Author(s):  
Wenli REN ◽  
Fang-Wei FU ◽  
Feng WANG ◽  
Jian GAO
Keyword(s):  
Frequency Hopping ◽  
Frequency Hopping Sequence
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