Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In conventional communication systems, the additive noise at the receiver is usually assumed to be Gaussian distributed. Hover, this assumption is not always valid and examples of non-Gaussian distributed noise include por line channels, underwater acoustic channels and man-made interference. Therefore it is important to design a receiver to mitigate the effects of impulsive noise.  proposes a new low-complexity receiver design that closely approximates the optimal log-likelihood ratio demapper and performs ll when the channel varies from slightly impulsive to very impulsive. Furthermore,  present a density evolution analysis and simulation results of (3, 6) LDPC code on additive impulsive noise channels, with symmetric alpha-stable probability density functions, employing different receivers to overcome the impulsive nature of the channels. Each receiver calculates or approximates the log-likelihood ratios of the received symbols, depending on whether they are optimal or sub-optimal respectively. The threshold signal-to-noise ratios of the LDPC code are derived to determine the start of the waterfall region of the bit-error rate performance and simulation results are presented to validate our density evolution analysis.
['Zhen Mei', 'Martin Johnston', 'Stephane Le', 'Li Chen']
I am writing a research paper on a idea Density evolution analysis of LDPC codes with different receivers on impulsive noise channels
[{"from": "human", "value": "I am writing a research paper on a idea Density evolution analysis of LDPC codes with different receivers on impulsive noise channels"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In conventional communication systems, the additive noise at the receiver is usually assumed to be Gaussian distributed. Hover, this assumption is not always valid and examples of non-Gaussian distributed noise include por line channels, underwater acoustic channels and man-made interference. Therefore it is important to design a receiver to mitigate the effects of impulsive noise.  proposes a new low-complexity receiver design that closely approximates the optimal log-likelihood ratio demapper and performs ll when the channel varies from slightly impulsive to very impulsive. Furthermore,  present a density evolution analysis and simulation results of (3, 6) LDPC code on additive impulsive noise channels, with symmetric alpha-stable probability density functions, employing different receivers to overcome the impulsive nature of the channels. Each receiver calculates or approximates the log-likelihood ratios of the received symbols, depending on whether they are optimal or sub-optimal respectively. The threshold signal-to-noise ratios of the LDPC code are derived to determine the start of the waterfall region of the bit-error rate performance and simulation results are presented to validate our density evolution analysis."}]