Asymptotic Performance Analysis of LDPC codes with Channel Estimation Error

Saeedi, Hamid; Banihashemi, Amir H.; Hong, Qi

doi:10.1109/vetecs.2005.1543578

Cited by 2 publications

(6 citation statements)

References 11 publications

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“…For long-term research, we suggest investigating the performance of H t i algo rithm s whose constituents are not restricted to MB algorithms. In the case of (timeinvariantly) blending sum-product and min-sum decoding algorithms, we expect to see sim ilar reduction in the sensitivity to the channel variations as in M B H t i algo rithm s (to which sum-product decoding algorithm is vulnerable [79]).…”

Section: Possible Future Workmentioning

confidence: 99%

Majority-based and hybrid iterative decoding of low-density parity-check codes

Zarrinkhat¹

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Section: Possible Future Workmentioning

confidence: 99%

Majority-based and hybrid iterative decoding of low-density parity-check codes

Zarrinkhat¹

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“…A degree D v variable-node operator 'F is said to be symmetric if We continue this process and compute fv fj and f c,k iteratively until we reach the maximum number o f iterations. We now use (2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14) to compute the density f D on which we have to decide about the transmitted bit. The probability o f error can be computed as:…”

Section: Definition 2-8mentioning

confidence: 99%

“…One can easily prove from (2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)) that if forO < x < 1 ,…”

Section: Definition 2-8mentioning

confidence: 99%

“…It can be seen that the (2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19) and (2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20) depend on ensemble degree distributions and channel erasure probability. It can be proven that for a given code ensemble, there is a unique so for which if e < so , E{£) tends to zero as iterations continue and E(£) is bounded away from zero otherwise.…”

Section: Thresholdsmentioning

confidence: 99%

“…We show how to generate the EXIT curves in the presence o f mismatch and use them in the design process. The results o f this chapter have been presented in [14], [15] , [16] and submitted for publication in [17]-In Chapter 5, for the binary erasure channel we propose a method to deterministically design ensembles with close-to-optimum performance. We first consider a case where for a fixed channel parameter; we design codes with maximum possible rate.…”

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Deterministic design and performance analysis of low-density parity-check codes in the presence of channel estimation error

Saeedi¹

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Asymptotic Performance Analysis of LDPC codes with Channel Estimation Error

Cited by 2 publications

References 11 publications

Majority-based and hybrid iterative decoding of low-density parity-check codes

Majority-based and hybrid iterative decoding of low-density parity-check codes

Deterministic design and performance analysis of low-density parity-check codes in the presence of channel estimation error

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