Rudified Convolutional Encoders

Author(s):  
Rolf Johannesson
2013 ◽  
Vol 59 (2) ◽  
pp. 1198-1210 ◽  
Author(s):  
Monireh Houshmand ◽  
Saied Hosseini-Khayat ◽  
Mark M. Wilde

1998 ◽  
Vol 44 (1) ◽  
pp. 420-422 ◽  
Author(s):  
D.L. Bitzer ◽  
A. Dholakia ◽  
H. Koorapaty ◽  
M.A. Vouk

Author(s):  
Adriana Borodzhieva ◽  
Ivanka Tsvetkova ◽  
Snezhinka Zaharieva ◽  
Dimitar Dimitrov ◽  
Valentin Mutkov

Author(s):  
Isaac Benchimol ◽  
Cecilio Pimentel ◽  
Richard Demo Souza ◽  
Bartolomeu F Uchôa-Filho

2017 ◽  
Vol 2 (3) ◽  
pp. 235
Author(s):  
Massimiliano Laddomada ◽  
Bartolo Scanavino

The aim of this paper is twofold. On one hand, it presents the results of the search for good punctured systematicrecursive convolutional encoders suitable for application in serially concatenated convolutional codes (SCCCs) operating in two different target regions: at low-to moderate signal-to-noise ratios (SNRs), i.e., in the so called waterfall region, and at high SNRs. On the other hand, it provides some useful design guidelines for choosing the constituent encoders in an SCCC. The results of the search for good SCCCs operating in the waterfall region rely upon an effective algorithm, based on density evolution technique, first proposed in a companion paper. Good punctured SCCCs were obtained through considerationsdeduced by the behaviour of the bit error probability of an SCCC for high values of both SNR and interleaver length, i.e., through asymptotic considerations. The mother codes in the serial concatenation are rate 1/2 recursive convolutional encoders (RCC) found by an exhaustive search for encoders tailored to SCCC schemes, using two different selection criteria. Extensive tables of optimized puncturing patterns for various mother codes and SCCCs are presented along with sample simulation results.


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