ASIC implementation of a direct-sequence spread-spectrum RAKE-receiver

2002 ◽  
Author(s):  
S.D. Lingwood ◽  
H. Kaufmann ◽  
B. Haller
Keyword(s):  
Spread Spectrum ◽  
Rake Receiver ◽  
Direct Sequence Spread Spectrum ◽  
Direct Sequence

Microcellular direct-sequence spread-spectrum radio system using N-path RAKE receiver

1990 ◽  
Vol 8 (5) ◽  
pp. 772-780 ◽  
Author(s):  
U. Grob ◽  
A.L. Welti ◽  
E. Zollinger ◽  
R. Kung ◽  
H. Kaufmann
Keyword(s):  
Spread Spectrum ◽  
Rake Receiver ◽  
Direct Sequence Spread Spectrum ◽  
Direct Sequence ◽  
Radio System ◽  
Spectrum Radio

Effect of tap spacing on the performance of direct-sequence spread-spectrum RAKE receiver

2000 ◽  
Vol 48 (6) ◽  
pp. 1029-1036 ◽  
Author(s):  
Ki Jun Kim ◽  
Soon Yil Kwon ◽  
Een Kee Hong ◽  
Keum Chan Whang
Keyword(s):  
Spread Spectrum ◽  
Rake Receiver ◽  
Direct Sequence Spread Spectrum ◽  
Direct Sequence

scholarly journals Coherent RAKE Receiver for CPM-Based Direct Sequence Spread Spectrum

2016 ◽  
Vol 2016 ◽  
pp. 1-7
Author(s):  
Ke Zhou ◽  
Shilian Wang ◽  
Eryang Zhang
Keyword(s):  
Spread Spectrum ◽  
Rayleigh Fading ◽  
Phase Synchronization ◽  
Rake Receiver ◽  
Continuous Phase ◽  
Direct Sequence Spread Spectrum ◽  
Multipath Channel ◽  
Continuous Phase Modulation ◽  
Data Detection ◽  
Direct Sequence

Direct sequence spread spectrum (DSSS) using continuous phase modulation (CPM) inherits the techniques’ benefits, constant envelope, anti-interference, and spectral efficiency. To get diversity gains over a Rayleigh-fading multipath channel as in conventional direct sequence spread-spectrum binary phase shift keying (DSSS-BPSK) system, a new class of coherent RAKE receivers is proposed in this work. By introducing chip branch metric to the receiver scheme, despreading and data detection can be done meanwhile based on Maximum Likelihood Sequence Detection (MLSD). Compared to the conventional RAKE receiver which sums decision metrics symbol-by-symbol, the proposed DSSS-CPM RAKE receiver accumulates symbol branch metric increments over every phase state of multiple paths after chip phase synchronization. Numerical results show that DSSS-CPM using the synchronous despreading and demodulation algorithm has no performance loss compared to CPM system that employs MLSD algorithm under the same test conditions. Moreover, the proposed RAKE receiver outperforms conventional RAKE receiver and achieves a remarkable diversity gain of bit error rate (BER) under the Rayleigh-fading multipath channel.

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 .

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