Digital Television Receivers with Blind Iterative Linear Cancellers

Dehghan, Hossein

doi:10.1109/icce.2006.1598288

Cited by 2 publications

(8 citation statements)

References 4 publications

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“…The simulation parameters of the simulation curve shown in Fig.6: the generation matrix is [7,5], the code rate is 1/3, interleaved manner is the pseudo-random interleaver,the decoding algorithm is the Log-MAP algorithm, tthe information sequence length is 1024. From the Fig.6.…”

Section: The Number Of Iterations Of Turbo Code Performancementioning

confidence: 99%

“…The shown simulation curve of the simulation parameters of: the generation matrix is [7,5], a code rate is 1/2, interleaved manner is the pseudo-random interleaver,the iteration is five times,the information sequence length is 512. As can be drawn from Fig.7: The Log-MAP algorithm than the SOVA algorithm ldB about the decoded gain, and therefore, a better decoding performance.…”

Section: E Decoding Algorithm Of Turbo Code Performancementioning

confidence: 99%

“…Because its performance is close to the theoretical limit of Shannon, Turbo code has become one of the main criteria of the thirdgeneration high-speed mobile communications. In addition, Turbo code is also widely used in data communications, digital TV and etc [3][4][5]. The good performance of Turbo code is mainly due to the following aspects: 1) the SISO iterative decoding ways; 2) Interlace is introduced which directly affects the distance spectrum and performance of Turbo codes [6].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Study on Turbo Code Performance Based on AWGN Channel

Zhu¹,

Zhu²,

Liu³

2013

Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

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Turbo codes have a wide range of applications in 3G mobile communications, deep-sea communications, satellite communications and other power constrained fields. In the paper, the Turbo Code Decoding Principle and several major decoding methods are introduced. Simulations of Turbo code performance under different parameters of AWGN channel are made and the effects of the different interleaving length, the number of iterations, and the decoding algorithm to Turbo code performance are also discussed in AWGN channel. Simulation results show that under the same signalto-noise ratio, the more the number of iterations is, the longer the sequence of information is, and the more excellent decoding algorithm is, the better the performance of Turbo codes is.

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Section: The Number Of Iterations Of Turbo Code Performancementioning

confidence: 99%

Section: E Decoding Algorithm Of Turbo Code Performancementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Study on Turbo Code Performance Based on AWGN Channel

Zhu¹,

Zhu²,

Liu³

2013

Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

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show abstract

“…The simulation parameters are set as follows in Fig. 3: the generate matrix is (7,5), the code rate is 1/3, interleaved manner is the pseudo-random interleaver, the information sequence length is 64,512,1024; the iteration is five times, the decoder algorithm is the Log-MAP algorithm.…”

Section: A Sequence Information On the Turbo Code Performancementioning

confidence: 99%

“…Because its performance is close to the theoretical limit of Shannon, Turbo code has become one of the main criteria of the third-generation high-speed mobile communications. In addition, Turbo code is also widely used in data communications, digital TV and etc [3][4][5]. The good performance of Turbo code is mainly due to the following aspects: 1) the SISO iterative decoding ways; 2) Interlace is introduced which directly affects the distance spectrum and performance of Turbo codes [6].…”

Section: Introductionmentioning

confidence: 99%

A Study on Turbo Code Performance Based on AWGN Channel

Zhu

Liu

2013

AMM

View full text Add to dashboard Cite

Turbo codes have a wide range of applications in 3G mobile communications, deep-sea communications, satellite communications and other power constrained fields. In the paper, the Turbo Code Decoding Principle and several major decoding methods are introduced. Simulations of Turbo code performance under different parameters of AWGN channel are made and the effects of the different interleaving length, the number of iterations, and the decoding algorithm to Turbo code performance are also discussed in AWGN channel. Simulation results show that under the same signal-to-noise ratio, the more the number of iterations is, the longer the sequence of information is, and the more excellent decoding algorithm is, the better the performance of Turbo codes is.

show abstract

Digital Television Receivers with Blind Iterative Linear Cancellers

Cited by 2 publications

References 4 publications

A Study on Turbo Code Performance Based on AWGN Channel

A Study on Turbo Code Performance Based on AWGN Channel

A Study on Turbo Code Performance Based on AWGN Channel

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